Enviar búsqueda
Cargar
Knowledge Discovery Using Data Mining
•
9 recomendaciones
•
1,154 vistas
P
parthvora18
Seguir
-KDD process -ETL tools -Data Mining methodologies
Leer menos
Leer más
Tecnología
Denunciar
Compartir
Denunciar
Compartir
1 de 22
Recomendados
Data mining: Classification and prediction
Data mining: Classification and prediction
Data mining: Classification and prediction
DataminingTools Inc
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
DataminingTools Inc
Major issues in data mining
Major issues in data mining
Slideshare
key note address delivered on 23rd March 2011 in the Workshop on Data Mining and Computational Biology in Bioinformatics, sponsored by DBT India and organised by Unit of Simulation and Informatics, IARI, New Delhi. I do not claim any originality either to slides or their content and in fact aknowledge various web sources.
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Devakumar Jain
Knowledge Discovery Process Data Mining Technique and Task Classification,Decision Tree
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, Classification
Dr. Abdul Ahad Abro
Data Mining Tasks Data mining tasks are the kind of data patterns that can be mined. Challenges of Data Mining Data mining application
3 Data Mining Tasks
3 Data Mining Tasks
Mahmoud Alfarra
a presentation on data preprocessing concepts
Data Preprocessing
Data Preprocessing
Object-Frontier Software Pvt. Ltd
about data generalization and summarization-based characterized
data generalization and summarization
data generalization and summarization
janani thirupathi
Recomendados
Data mining: Classification and prediction
Data mining: Classification and prediction
Data mining: Classification and prediction
DataminingTools Inc
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
DataminingTools Inc
Major issues in data mining
Major issues in data mining
Slideshare
key note address delivered on 23rd March 2011 in the Workshop on Data Mining and Computational Biology in Bioinformatics, sponsored by DBT India and organised by Unit of Simulation and Informatics, IARI, New Delhi. I do not claim any originality either to slides or their content and in fact aknowledge various web sources.
Knowledge discovery thru data mining
Knowledge discovery thru data mining
Devakumar Jain
Knowledge Discovery Process Data Mining Technique and Task Classification,Decision Tree
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, Classification
Dr. Abdul Ahad Abro
Data Mining Tasks Data mining tasks are the kind of data patterns that can be mined. Challenges of Data Mining Data mining application
3 Data Mining Tasks
3 Data Mining Tasks
Mahmoud Alfarra
a presentation on data preprocessing concepts
Data Preprocessing
Data Preprocessing
Object-Frontier Software Pvt. Ltd
about data generalization and summarization-based characterized
data generalization and summarization
data generalization and summarization
janani thirupathi
detailed data mining tasks
Data mining tasks
Data mining tasks
Khwaja Aamer
Data Mining: Applying data mining
Data Mining: Applying data mining
Data Mining: Applying data mining
DataminingTools Inc
Data Reduction
Data reduction
Data reduction
kalavathisugan
KDD PROCESS
Kdd process
Kdd process
Rajesh Chandra
Data Mining and Data Warehousing Full Presentation
Data mining & data warehousing (ppt)
Data mining & data warehousing (ppt)
Harish Chand
Decision trees
Decision trees
Jagjit Wilku
Knowledge discovery process
Knowledge discovery process
Knowledge discovery process
Shuvra Ghosh
Data mining and knowledge discovery
Data mining and knowledge discovery
Data mining and knowledge discovery
Hoang Nguyen
Data mining - multi dimensional data model
multi dimensional data model
multi dimensional data model
moni sindhu
Data warehouse and data mining
Data warehouse and data mining
Data warehouse and data mining
Pradnya Saval
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams. We connect Students who have an understanding of course material with Students who need help. Benefits:- # Students can catch up on notes they missed because of an absence. # Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand # Students can earn better grades, save time and study effectively Our Vision & Mission – Simplifying Students Life Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.” Like Us - https://www.facebook.com/FellowBuddycom
Data Mining & Data Warehousing Lecture Notes
Data Mining & Data Warehousing Lecture Notes
FellowBuddy.com
Introduction to Data mining
Introduction to Data Mining
Introduction to Data Mining
DataminingTools Inc
Data mining is a process that takes data as input and outputs knowledge.
Data mining
Data mining
Daminda Herath
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
Data preprocessing
Data preprocessing
Gajanand Sharma
Data Mining -Data Mining: A KDD Process
1.2 steps and functionalities
1.2 steps and functionalities
Krish_ver2
Data Mining by Mamotlatsi Seotsa Cloudia
Data mining
Data mining
District Administration
This is a overview of Data Mining Concept and Applications
Data Mining & Applications
Data Mining & Applications
Fazle Rabbi Ador
Data warehouse and olap technology
Data warehouse and olap technology
Data warehouse and olap technology
DataminingTools Inc
Dbms architecture Three level architecture is also called ANSI/SPARC architecture or three schema architecture This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture) In this architecture the database schemas can be defined at three levels explained in next slide
Dbms architecture
Dbms architecture
Shubham Dwivedi
JSP Processing
JSP Processing
Sadhana28
Arroz de la 32
Segmentación
Segmentación
laury2295
American Academy Cerftifcate1
American Academy Cerftifcate1
Elaf Al Taha
Más contenido relacionado
La actualidad más candente
detailed data mining tasks
Data mining tasks
Data mining tasks
Khwaja Aamer
Data Mining: Applying data mining
Data Mining: Applying data mining
Data Mining: Applying data mining
DataminingTools Inc
Data Reduction
Data reduction
Data reduction
kalavathisugan
KDD PROCESS
Kdd process
Kdd process
Rajesh Chandra
Data Mining and Data Warehousing Full Presentation
Data mining & data warehousing (ppt)
Data mining & data warehousing (ppt)
Harish Chand
Decision trees
Decision trees
Jagjit Wilku
Knowledge discovery process
Knowledge discovery process
Knowledge discovery process
Shuvra Ghosh
Data mining and knowledge discovery
Data mining and knowledge discovery
Data mining and knowledge discovery
Hoang Nguyen
Data mining - multi dimensional data model
multi dimensional data model
multi dimensional data model
moni sindhu
Data warehouse and data mining
Data warehouse and data mining
Data warehouse and data mining
Pradnya Saval
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams. We connect Students who have an understanding of course material with Students who need help. Benefits:- # Students can catch up on notes they missed because of an absence. # Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand # Students can earn better grades, save time and study effectively Our Vision & Mission – Simplifying Students Life Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.” Like Us - https://www.facebook.com/FellowBuddycom
Data Mining & Data Warehousing Lecture Notes
Data Mining & Data Warehousing Lecture Notes
FellowBuddy.com
Introduction to Data mining
Introduction to Data Mining
Introduction to Data Mining
DataminingTools Inc
Data mining is a process that takes data as input and outputs knowledge.
Data mining
Data mining
Daminda Herath
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
Data preprocessing
Data preprocessing
Gajanand Sharma
Data Mining -Data Mining: A KDD Process
1.2 steps and functionalities
1.2 steps and functionalities
Krish_ver2
Data Mining by Mamotlatsi Seotsa Cloudia
Data mining
Data mining
District Administration
This is a overview of Data Mining Concept and Applications
Data Mining & Applications
Data Mining & Applications
Fazle Rabbi Ador
Data warehouse and olap technology
Data warehouse and olap technology
Data warehouse and olap technology
DataminingTools Inc
Dbms architecture Three level architecture is also called ANSI/SPARC architecture or three schema architecture This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture) In this architecture the database schemas can be defined at three levels explained in next slide
Dbms architecture
Dbms architecture
Shubham Dwivedi
JSP Processing
JSP Processing
Sadhana28
La actualidad más candente
(20)
Data mining tasks
Data mining tasks
Data Mining: Applying data mining
Data Mining: Applying data mining
Data reduction
Data reduction
Kdd process
Kdd process
Data mining & data warehousing (ppt)
Data mining & data warehousing (ppt)
Decision trees
Decision trees
Knowledge discovery process
Knowledge discovery process
Data mining and knowledge discovery
Data mining and knowledge discovery
multi dimensional data model
multi dimensional data model
Data warehouse and data mining
Data warehouse and data mining
Data Mining & Data Warehousing Lecture Notes
Data Mining & Data Warehousing Lecture Notes
Introduction to Data Mining
Introduction to Data Mining
Data mining
Data mining
Data preprocessing
Data preprocessing
1.2 steps and functionalities
1.2 steps and functionalities
Data mining
Data mining
Data Mining & Applications
Data Mining & Applications
Data warehouse and olap technology
Data warehouse and olap technology
Dbms architecture
Dbms architecture
JSP Processing
JSP Processing
Destacado
Arroz de la 32
Segmentación
Segmentación
laury2295
American Academy Cerftifcate1
American Academy Cerftifcate1
Elaf Al Taha
Temas sobre Propiedad Agraria y Civil
Propiedad civil y propiedad agraria modificado
Propiedad civil y propiedad agraria modificado
Millalaidelis
IADC Certificate
IADC Certificate
Ibrando Silalahi
el bullying (de viry)
áLbum de fotografías de viryz!!
áLbum de fotografías de viryz!!
angela maldonado
Mapa conceptual de diferencia de metas y objetivos tomado como ejemplo mi proyecto de vida
Marilin del Carmen Lopez
Marilin del Carmen Lopez
Marilin del Carmen Lopez
http://saia.psm.edu.ve/moodle/mod/glossary/view.php?id=476226
Nh
Nh
miguel alejandro navarro tovar
เอกสารงานประกันคุณภาพภายในสถานศึกษา
การกำหนดมาตรฐานการศึกษาของสถานศึกษา
การกำหนดมาตรฐานการศึกษาของสถานศึกษา
worapanthewaha
ENC
essential newborn care
essential newborn care
Bernadette Corral
सुबह व शाम उसकी पाकी बयान करो
सुबह व शाम उसकी पाकी बयान करो
FAHIM AKTHAR ULLAL
Comala Pueblo Mágico.
Comala Unamaravilla
Comala Unamaravilla
Vive Colima
Social Studies Web Sites & Technology
Social Studies Web Sites & Technology
Glenn Wiebe
Trastornos como la bulimia y la anorexia nerviosas, son, por desgracia, cada día más frecuentes en la juventud actual y afectan de una manera más importante a las jóvenes. Esta «Guía Práctica para la Prevención de los Trastornos de la Conducta Alimentaria» constituye un documento indispensable hoy en la formación de monitores y directores de tiempo libre, voluntarios y profesionales, así como de cuantos mediadores, agentes sociales y animadores socioculturales trabajan con la juventud. La Guía se ha orientado a su formación con una metodología práctica, y pretende la prevención de los trastornos de la alimentación mediante el estudio de las causas y las acciones que se pueden llevar a cabo para la mejora de la nutrición y alimentación, la imagen corporal, el autoconcepto y autoestima, o la asertividad y las habilidades sociales de los jóvenes.
Prevencion de los trastornos de la conducta alimenticia
Prevencion de los trastornos de la conducta alimenticia
Gabriela Calva Hernandez
Rethinking SQL for Big Data with Apache Drill
Rethinking SQL for Big Data with Apache Drill
Rethinking SQL for Big Data with Apache Drill
MapR Technologies
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...
CIALCA
Reading event based on Hunger Games
Czytelniczo językowa impreza dla fanów książki „igrzyska...
Czytelniczo językowa impreza dla fanów książki „igrzyska...
bibliotekaszkolnag3
مجموعه اسلایدهای مربوط به ارائه ی پایان نامه ی کارشناسی ارشد رشته ی سیستم های اقتصادی اجتماعی دانشگاه صنعتی شریف با موضوع "مدل سازی عملکرد یک شرکت بیمه ی عمومی با رویکرد دینامیک سیستم ها"
Modeling the operation of a general insurance company with system dynamics ap...
Modeling the operation of a general insurance company with system dynamics ap...
Peyman Haghighattalab
6.2.15 Christa Evans Rogers Resume
6.2.15 Christa Evans Rogers Resume
Christa Evans Rogers
Next greatest generation 2011
Next greatest generation 2011
Glenn Wiebe
Características de los primeros habitantes de las Antillas Mayores, su forma de vida, actividades económicas, su arte y medios de comunicación.
Los tainos, primeros pobladores de las Antillas Mayores
Los tainos, primeros pobladores de las Antillas Mayores
rosam24
Destacado
(20)
Segmentación
Segmentación
American Academy Cerftifcate1
American Academy Cerftifcate1
Propiedad civil y propiedad agraria modificado
Propiedad civil y propiedad agraria modificado
IADC Certificate
IADC Certificate
áLbum de fotografías de viryz!!
áLbum de fotografías de viryz!!
Marilin del Carmen Lopez
Marilin del Carmen Lopez
Nh
Nh
การกำหนดมาตรฐานการศึกษาของสถานศึกษา
การกำหนดมาตรฐานการศึกษาของสถานศึกษา
essential newborn care
essential newborn care
सुबह व शाम उसकी पाकी बयान करो
सुबह व शाम उसकी पाकी बयान करो
Comala Unamaravilla
Comala Unamaravilla
Social Studies Web Sites & Technology
Social Studies Web Sites & Technology
Prevencion de los trastornos de la conducta alimenticia
Prevencion de los trastornos de la conducta alimenticia
Rethinking SQL for Big Data with Apache Drill
Rethinking SQL for Big Data with Apache Drill
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...
Czytelniczo językowa impreza dla fanów książki „igrzyska...
Czytelniczo językowa impreza dla fanów książki „igrzyska...
Modeling the operation of a general insurance company with system dynamics ap...
Modeling the operation of a general insurance company with system dynamics ap...
6.2.15 Christa Evans Rogers Resume
6.2.15 Christa Evans Rogers Resume
Next greatest generation 2011
Next greatest generation 2011
Los tainos, primeros pobladores de las Antillas Mayores
Los tainos, primeros pobladores de las Antillas Mayores
Similar a Knowledge Discovery Using Data Mining
This was a presentation for AI/ML and various AIOps us cases within autonomous
Introducing new AIOps innovations in Oracle 19c - San Jose AICUG
Introducing new AIOps innovations in Oracle 19c - San Jose AICUG
Sandesh Rao
https://www.irjet.net/archives/V6/i5/IRJET-V6I5884.pdf
IRJET- Classification of Pattern Storage System and Analysis of Online Shoppi...
IRJET- Classification of Pattern Storage System and Analysis of Online Shoppi...
IRJET Journal
What is Data Mining? Why? Discovering relationships Predict future events Usage scenarios Algorithms
Data Mining with SQL Server 2008
Data Mining with SQL Server 2008
Peter Gfader
DBMS Schemas for Decision Support , Star Schema, Snowflake Schema, Fact Constellation Schema, Schema Definition, Data extraction, clean up and transformation tools.
UNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data Mining
Nandakumar P
The most widely used Cross Industry Standard Process for Data Mining methodology is used to develop predictive analytical models.
Data Mining methodology
Data Mining methodology
rebeccatho
A presentation covers how data science is connected to build effective machine learning solutions. How to build end to end solutions in Azure ML. How to build, model, and evaluate algorithms in Azure ML.
Azure Machine Learning
Azure Machine Learning
Mostafa
How to do Machine Learning on Apache Spark.
Nose Dive into Apache Spark ML
Nose Dive into Apache Spark ML
Ahmet Bulut
MS SQL SERVER: Introduction To Datamining Suing Sql Server
MS SQL SERVER: Introduction To Datamining Suing Sql Server
MS SQL SERVER: Introduction To Datamining Suing Sql Server
sqlserver content
Introduction To Datamining Suing Sql Server
MS Sql Server: Introduction To Datamining Suing Sql Server
MS Sql Server: Introduction To Datamining Suing Sql Server
DataminingTools Inc
NEWYORKSYSTRAINING are destined to offer quality IT online training and comprehensive IT consulting services with complete business service delivery orientation.
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
NEWYORKSYS-IT SOLUTIONS
Data Science (Big Data & Machine Learning) Technology overview that I summarized in 2015
Data science technology overview
Data science technology overview
Soojung Hong
Data Mining is an important aspect for any business. Most of the management level decisions are based on the process of Data Mining. One of such aspect is the association between different sale products i.e. what is the actual support of a product respected to the other product. This concept is called Association Mining. According to this concept we define the process of estimating the sale of one product respective to the other product. We are proposing an association rule based on the concept of Hardware support. In this concept we first maintain the database and compare it with systolic array after this a pruning process is being performed to filter the database and to remove the rarely used items. Finally the data is indexed according to hashing technique and the decision is performed in terms of support count. Krishan Rohilla | Shabnam Kumari | Reema"Data Mining based on Hashing Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd82.pdf http://www.ijtsrd.com/computer-science/data-miining/82/data-mining-based-on-hashing-technique/krishan-rohilla
Data Mining based on Hashing Technique
Data Mining based on Hashing Technique
ijtsrd
Data mining
Data mining
Data mining
heba_ahmad
how to convert into an effective way
data mining
data mining
manasa polu
Data meets AI - AIOps use cases , introduction to ML and OML4Py
Data meets AI - AICUG - Santa Clara
Data meets AI - AICUG - Santa Clara
Sandesh Rao
It is machine learning project so we analyze only few things.
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
Sandeep Garg
Msbi Architecture
Msbi Architecture
Msbi Architecture
Rajinder Singh, PRINCE2® Practitioner
presentation on recent data mining Techniques ,and future directions of research from the recent research papers made in Pre-master ,in Cairo University under supervision of Dr. Rabie
Data mining concepts and work
Data mining concepts and work
Amr Abd El Latief
Introduction to Data Mining
Unit-V-Introduction to Data Mining.pptx
Unit-V-Introduction to Data Mining.pptx
Harsha Patel
By Akhil Singhal n group
Data Warehousing AWS 12345
Data Warehousing AWS 12345
AkhilSinghal21
Similar a Knowledge Discovery Using Data Mining
(20)
Introducing new AIOps innovations in Oracle 19c - San Jose AICUG
Introducing new AIOps innovations in Oracle 19c - San Jose AICUG
IRJET- Classification of Pattern Storage System and Analysis of Online Shoppi...
IRJET- Classification of Pattern Storage System and Analysis of Online Shoppi...
Data Mining with SQL Server 2008
Data Mining with SQL Server 2008
UNIT - 1 Part 2: Data Warehousing and Data Mining
UNIT - 1 Part 2: Data Warehousing and Data Mining
Data Mining methodology
Data Mining methodology
Azure Machine Learning
Azure Machine Learning
Nose Dive into Apache Spark ML
Nose Dive into Apache Spark ML
MS SQL SERVER: Introduction To Datamining Suing Sql Server
MS SQL SERVER: Introduction To Datamining Suing Sql Server
MS Sql Server: Introduction To Datamining Suing Sql Server
MS Sql Server: Introduction To Datamining Suing Sql Server
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys
Data science technology overview
Data science technology overview
Data Mining based on Hashing Technique
Data Mining based on Hashing Technique
Data mining
Data mining
data mining
data mining
Data meets AI - AICUG - Santa Clara
Data meets AI - AICUG - Santa Clara
Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
Msbi Architecture
Msbi Architecture
Data mining concepts and work
Data mining concepts and work
Unit-V-Introduction to Data Mining.pptx
Unit-V-Introduction to Data Mining.pptx
Data Warehousing AWS 12345
Data Warehousing AWS 12345
Último
Tech Trends Report 2024 Future Today Institute
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
hans926745
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Michael W. Hawkins
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
Explore the leading Large Language Models (LLMs) and their capabilities with a comprehensive evaluation. Dive into their performance, architecture, and applications to gain insights into the state-of-the-art in natural language processing. Discover which LLM best suits your needs and stay ahead in the world of AI-driven language understanding.
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
ChristopherTHyatt
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
Delhi Call girls
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Delhi Call girls
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
naman860154
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Último
(20)
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Knowledge Discovery Using Data Mining
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
![[object Object]](https://image.slidesharecdn.com/KnowledgeDiscoveryusingDataMining-122825671493-phpapp03/85/Knowledge-Discovery-Using-Data-Mining-1-320.jpg)
![[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)