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14,[object Object],SQL SERVER: INTRODUCTION TO DATA MINING USING SQL SERVER,[object Object]
What is a Data Mining?,[object Object],Data mining is the process of analyzing a data set to find patterns,[object Object],Data mining can also defined as deriving of knowledge from raw-data,[object Object]
Aliases,[object Object],Data mining is also known  by the following terms:,[object Object]
Importance of Data mining,[object Object],The Amount of data in the contemporary world is humungous. By studying this data and understanding the trend and patterns, one can understand the system better. Due to data mining, conclusions which are profitable for an organization  or decisions which may help a librarian manage books better: may be arrived at. ,[object Object],Pervasiveness of data:,[object Object],CRM,[object Object],(Customer Relationship Management),[object Object],ERP,[object Object],(Enterprise Resource Planning),[object Object],Database servers,[object Object],Data Pool,[object Object],Web Server Logs,[object Object]
Data Mining,[object Object],The traditional SQL queries that we learnt till now follow the method of ‘querying’ and based upon the response, ‘explore’ the system more. ,[object Object],Query and Exploration Method,[object Object],Data Mining Method,[object Object],The Data mining methodology hence takes the opposite direction as that of query methods,[object Object],Here, the important attribute on which the analysis is based is the ‘name’. Hence, it is called as the class,[object Object]
Applications,[object Object],The Application of data mining covers a wide domain. Any place where data is involved can be operated upon using data mining. Some of the real world applications of data mining are as follows:,[object Object]
Algorithms for Data mining,[object Object],The Data mining systems utilize a wide variety of algorithms. The Four common algorithm types are:,[object Object]
Tasks involved in Data Mining,[object Object],The Process of data mining is divided into various steps as follows:,[object Object],[object Object]
  Clustering
  Association
  Regression
  ForecastingLet us have a look at them,[object Object]
Classification,[object Object],Classification is the process of grouping items into meaningful groups. The Groups are later treated as a single element and the relation between the groups are analyzed. Simply put, it is the task of assigning a group to each case.,[object Object],Example:,[object Object],Data Set,[object Object]
Clustering,[object Object],Clustering is the process of grouping data items based on some attributes,[object Object],Example:,[object Object],Data Set,[object Object],Clustered based on nearness,[object Object]
Data mining algorithms,[object Object],Data Mining is a complex methodology which needs advanced algorithms operating on useful data.,[object Object],The Data mining algorithms are mainly divided into 2 types:,[object Object],Supervising algorithm,[object Object],Unsupervising algorithm,[object Object],In a supervising algorithm, the system needs a target(may be a set of attributes) to learn against,[object Object],Whereas the Unsupervising algorithm, iterates till the boundaries of the problem are reached,[object Object]

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