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DATAMINE.IT
December 1, 2008




                   You can visualize data
                   mining as a
                   process of searching
                   for treasure buried in
                   the sand or digging up
                   rock to mine for gold -
                   thus 'mining', but the
                   tools we use
                   do it in a truly
                   systematic and
                   efficient way.




                                             The problem with data
                                             and why you do care
                                             By Anna Skountzou


                                             You are flooded with tons of         knowledge hidden inside? Or           consider as a statistical analysis.
                                             data, day by day.                   how such an input would make          Put aside the fluffy terminology
                                             Spreadsheets, reports,              the difference for you and your       and start thinking of rules and
                                             surveys, you name it. But           company?                              patterns, all illustrated via
                                             you are neither the info                 We bet that, even if it has      expositive writing and
                                             junkie nor the number               already crossed your mind, you        visualization schemes, finally
                                             cruncher. You actually have         have neither the time nor the         contributing the less biased and
                                             no time to invest on it,            right techniques to exploit this      most valuable signals for your
                                             while you know that you’re          data.  And, till now, you were        decisions.
                                             wasting precious insights           forced to hire a connoisseur of            And keep in mind that
                                             and significant potential.           data analysis, something that         latent knowledge presents both a
                                             Despair? No.                        proved to be costly and time-         hidden cost and a tremendous
                                                  The problem is simple. Too     consuming. Yes, that was the best     opportunity, but there is no need
                                             much information in                 case, typically you just did          to be stressed about that
                                             spreadsheets or other formats,      nothing.                              anymore, you may now just
                                             laying around your hard disk or          Well, till now. Our team not     datamine.it!
                                             in the cloud. Have you ever tried   only relieves you of all these, but
                                             to imagine the amount of            also extends what you used to



   1
DATAMINE.IT December 1, 2008
                                                        Our solution
                                                        why datamine.it?
                                                        By Manos Androulakis


                                                        Speaking of taking the most out of your data sets,     “A miner with a mattock in his
                                                        we provide you with a rock solid solution. The         hand is a very rough way to
                                                        process goes like this:                                conceptualize the complexity and
                                                                                                               state-of-the-art of the
                                                            1. You send your data to us.                       processes we execute.
                                                                                                               A diverse and extended set of
                                                            2. You sit back, breathe some fresh air and
                                                                                                               exploration and filtering
                                                        enjoy every moment of your life in between.
                                                                                                               algorithms, next to a variety of
                                                                                                               learning and meta-learning
                                                           3. You open your inbox and receive the very
                                                          knowledge and secrets trapped in your data,          techniques, are utilized, optimized
                                                          unveiled.                                            and evaluated, while the problem is
                                                                                                               a computationally intensive one
                                                             And here are a few more reasons on why to         and demands a highly customized
                                                        select us.                                             approach.
                                                             1. datamine.it is easy: Consultants,              So we’re putting human
                                                             discussions, meetings. Forget them all. What      intelligence and our high expertise
                                                             you need to do is just send us an email, with     in between of various advanced
                                                             your data set attached.                           artificial intelligence algorithms, to
                                                             2. datamine.it is fast: Within a week,            finally provide you with the very
                                                             results and the very knowledge of your data       secrets trapped in your data,
                                                             set will pop up in your inbox.                    unveiled.”
                                                             3. datamine.it is fun: Honestly. Working
                                                             with tons of data is so much fun, especially      George Tziralis

                                                             when others do all the work for you.              6. datamine.it is insightful: You already
                                                             4. datamine.it is secure: Rest assured            know that, we give you the most valuable
                                                             that we’ve done our best to keep your data        insights on your data in return.
                                                             and mining results safe and private (the latter   7. datamine.it is affordable: The cost of
                                                             may not be valid in our free services).           a datamine.it analysis range, you either pay
                                                             5. datamine.it is clear: If statistics sound      nothing, or €500.
                                                             greek to you, we’re speaking your language.




                               data
                               stand as the least
                               biased input to deci-
                               sion making, a pure
                               source of insights and
                               knowledge.




           2
DATAMINE.IT December 1, 2008
                                                                                                  “Think of a simple process. Then, make it
                                                                                                  simpler. Try to find the steps that are still
                                                                                                  vague. Cut them off. Finally, ask your
                                                                                                  grandma what she cannot understand.
                                                                                                  This is how we make things happen in
                                                                                                  datamine.it”
                                                                                                  Iro Zacharidou




                               The process:
                               Hassle free
                               By Eleftheria Kanavou


                               It’s simple. You just email us your data set, in              balance sheet, you name it). And there are no limitations in
                               an .xls, .csv or .txt format. And then we take over.          the number of columns and rows of your set.
                                                                                                  Clear enough? Ok, that’s it. As long as you got the data
                                  The file should in a form like the one in the figure. Let us set in that format, you just sent it to us with an email at
                               make it even more clear.                                      go(AT)datamine.it. We’ll reply with a confirmation of
                                                                                             receiving an appropriate file, plus an invoice via paypal. And,
                                                                                             within a week, you’ll have a fully fledged datamine.it report,
                                                                                             waiting in your inbox. We think it’s simple.



                                                                                                 Pricing
                                                                                                     There are two pricing plans:

                                                                                                      FREE: You can have the whole report for free, if your
                                                                                                 data set is of less than 30 columns (attributes) and 300 rows
                               Columns in the data set are attributes, like color, size, value   (instances), plus you agree that we may publish the analysis in
                               and purchase decision; whatever your data set is made of.         our blog. In this case, the report may take up to a month.
                               Attributes may be numeric (numbers), or nominal (one or
                               more words). You also need to define the ‘target’ attribute,           MAX: No restrictions at all, delivery within a week, full
                               one or more characteristics you want us to focus on and           fledged analysis for a €500 flat price.
                               explain its behavior based on all the other attributes.
                                    You also may call each row an instance, a case, an               You may take a look at a typical datamine.it results
                               example, in other words a discrete set of values of each          report in our website, while we do wait for your data sets!
                               attribute (let’s say a person’s reply to a survey, a product’s
                               characteristics in a list of products, quarter updates in a

           3
DATAMINE.IT December 1, 2008
                               An example:
                               Surveys
                               By Athina Pandi
                               You used to think column graphs and pies                   But, the question remains. Is that the most
                               as the most insightful views you could                 you can expect from a data set analysis? Have you
                               expect from a data analysis. You’ll                    actually gain deep insights from your data? The
                               probably change your mind. Let’s take a                answer is a clear no. Let us show you why.
                                                                                          What follows is a set of rules that emerge from
                               look at a survey example.
                                                                                      a proper datamine.it analysis, even for a data set as
                                                                                      oversimplified as the above example. Try this
                                   A simplistic one. Consider the data set
                                                                                      graph:
                               described in the previous page.




                                    Let’s say it refers to answers gathered through
                                                                                           or, maybe this set of rules:
                               a survey, or stored in your enterprise database. A
                               typical analysis will finally come up with some
                                                                                                  If color = yellow then buy = yes
                               graphs, like the ones following.                                   If color = red then buy = yes
                                                                                                  If color = white then buy = yes
                                                                                                  If color = green then buy = no
                                                                                                  If color = blue then buy = no
                                                                                                  If color = black then buy = no

                                                                                          See the difference between the almost obvious
                                                                                      and the really insightful?

                                                                                           Go find out more in a complete typical
                                                                                      datamine.it report. Yes, this is what your own data
                                                                                      set will look like, just after a week. Still considering
                                                                                      it? Check out our blog for more case studies. And
                                                                                      send us your data, now.
                                    And you’re probably used to consider the
                               analysis contributing a graph like the above as,
                               well, fruitful. Same for the following one.




           4
DATAMINE.IT December 1, 2008
                               A few more words
                               about us
                               By Eirini Lygkoni
                               datamine.it is a group of young and passionate data
                               engineers, each of us holding an engineering diploma
                               from NTUA and an MSc or PhD in Applied Math,
                               Statistics or Operations Research. We are located in
                               Athens, Greece and London, UK.

                                    • George Tziralis is clearly a data junkie who
                                 lives on his mac. In the rare case he’s logged off, he
                                 enjoys dancing tango and organizing Open Coffee
                                 meetings around Greece. Apart from that, at 26 he is
                                 a serial entrepreneur, while he also teaches a data
                                 mining post-graduate course via blog and tries to find
                                 some time to write up his PhD Thesis on markets for
                                 forecasting.
                                    • Athina Pandi is -among datamine.it- on her
                                 second MSc at Imperial College. Communications &
                                 Signal Processing is her late interest, next to statistics,
                                 data mining and networks. When she is offline, you
                                 may find her in a pub around Hyde park.
                                    • Eleftheria Kanavou, with a strong tendency
                                 in dancing, is the one who naturally gives rhythm to
                                 the whole team. Her research interests include
                                 stochastic processes and behavioral statistics, while
                                 data mining is the physical outlet of her
                                 entrepreneurial attitude. 
                                    • Manos Androulakis is the algo geek of the
                                 team. The biggest the challenge and the data set, the
                                 most determined he is for the next diamond to mine.
                                 His expertise lies in the areas of statistical designs,
                                 variable selection methods and medical applications,
                                 under the prism of data mining of course.
                                    • Eirini Lygkoni is the epitome of doing magic
                                 under pressure. A multi-tasker by nature, she is                                            data is our passion
                                                                                                                             and mining our joy
                                 addicted to statistics and probabilities, while she                                         We literally can’t wait
                                 literally can’t wait for the next data set to arrive. At                                    to put our hands on
                                                                                                                             your data; get ready
                                 the same time, simplicity is her favorite word and                                          to be impressed -or
                                 socializing her selection of choice for her rare free                                       even excited- from the
                                                                                                                             precious insights that
                                 time. Enough said.                                                                          you’ll receive in just a
                                    • Lina Massou stands as the quiet power of the                                           week.
                                 team. With a strong background in information
                                 theory and cryptography, she definitely is the one to
                                 take good care of your data and come up with their
                                 very knowledge, unveiled.
                                    • Anna Skountzou excels at both statistics
                                 research and ecological conscience. That said, she’s
                                 definitely the one to look for, when you are looking at
                                 extracting patterns to let you put your data into
                                 much more efficient use, their green footprint
                                 included. 
                                    • Iro Zacharidou is a true data nut, next to a
                                 party animal, putting her deep statistical expertise
                                 aside. If you wonder about the outcome of these               DATAMINE.IT
                                 coming together, rest assured that the required               Athens, Greece | London, UK
                                 amount of persistence and professionalism to put              go@datamine.it
                                 your data into investigation will be largely outrun.          http://www.datamine.it

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Datamine.it *Magazine*

  • 1. DATAMINE.IT December 1, 2008 You can visualize data mining as a process of searching for treasure buried in the sand or digging up rock to mine for gold - thus 'mining', but the tools we use do it in a truly systematic and efficient way. The problem with data and why you do care By Anna Skountzou You are flooded with tons of knowledge hidden inside? Or consider as a statistical analysis. data, day by day. how such an input would make Put aside the fluffy terminology Spreadsheets, reports, the difference for you and your and start thinking of rules and surveys, you name it. But company? patterns, all illustrated via you are neither the info We bet that, even if it has expositive writing and junkie nor the number already crossed your mind, you visualization schemes, finally cruncher. You actually have have neither the time nor the contributing the less biased and no time to invest on it, right techniques to exploit this most valuable signals for your while you know that you’re data.  And, till now, you were decisions. wasting precious insights forced to hire a connoisseur of And keep in mind that and significant potential. data analysis, something that latent knowledge presents both a Despair? No. proved to be costly and time- hidden cost and a tremendous The problem is simple. Too consuming. Yes, that was the best opportunity, but there is no need much information in case, typically you just did to be stressed about that spreadsheets or other formats, nothing. anymore, you may now just laying around your hard disk or Well, till now. Our team not datamine.it! in the cloud. Have you ever tried only relieves you of all these, but to imagine the amount of also extends what you used to 1
  • 2. DATAMINE.IT December 1, 2008 Our solution why datamine.it? By Manos Androulakis Speaking of taking the most out of your data sets, “A miner with a mattock in his we provide you with a rock solid solution. The hand is a very rough way to process goes like this: conceptualize the complexity and state-of-the-art of the 1. You send your data to us. processes we execute. A diverse and extended set of 2. You sit back, breathe some fresh air and exploration and filtering enjoy every moment of your life in between. algorithms, next to a variety of learning and meta-learning 3. You open your inbox and receive the very knowledge and secrets trapped in your data, techniques, are utilized, optimized unveiled. and evaluated, while the problem is a computationally intensive one And here are a few more reasons on why to and demands a highly customized select us. approach. 1. datamine.it is easy: Consultants, So we’re putting human discussions, meetings. Forget them all. What intelligence and our high expertise you need to do is just send us an email, with in between of various advanced your data set attached. artificial intelligence algorithms, to 2. datamine.it is fast: Within a week, finally provide you with the very results and the very knowledge of your data secrets trapped in your data, set will pop up in your inbox. unveiled.” 3. datamine.it is fun: Honestly. Working with tons of data is so much fun, especially George Tziralis when others do all the work for you. 6. datamine.it is insightful: You already 4. datamine.it is secure: Rest assured know that, we give you the most valuable that we’ve done our best to keep your data insights on your data in return. and mining results safe and private (the latter 7. datamine.it is affordable: The cost of may not be valid in our free services). a datamine.it analysis range, you either pay 5. datamine.it is clear: If statistics sound nothing, or €500. greek to you, we’re speaking your language. data stand as the least biased input to deci- sion making, a pure source of insights and knowledge. 2
  • 3. DATAMINE.IT December 1, 2008 “Think of a simple process. Then, make it simpler. Try to find the steps that are still vague. Cut them off. Finally, ask your grandma what she cannot understand. This is how we make things happen in datamine.it” Iro Zacharidou The process: Hassle free By Eleftheria Kanavou It’s simple. You just email us your data set, in balance sheet, you name it). And there are no limitations in an .xls, .csv or .txt format. And then we take over. the number of columns and rows of your set. Clear enough? Ok, that’s it. As long as you got the data The file should in a form like the one in the figure. Let us set in that format, you just sent it to us with an email at make it even more clear. go(AT)datamine.it. We’ll reply with a confirmation of receiving an appropriate file, plus an invoice via paypal. And, within a week, you’ll have a fully fledged datamine.it report, waiting in your inbox. We think it’s simple. Pricing There are two pricing plans: FREE: You can have the whole report for free, if your data set is of less than 30 columns (attributes) and 300 rows Columns in the data set are attributes, like color, size, value (instances), plus you agree that we may publish the analysis in and purchase decision; whatever your data set is made of. our blog. In this case, the report may take up to a month. Attributes may be numeric (numbers), or nominal (one or more words). You also need to define the ‘target’ attribute, MAX: No restrictions at all, delivery within a week, full one or more characteristics you want us to focus on and fledged analysis for a €500 flat price. explain its behavior based on all the other attributes. You also may call each row an instance, a case, an You may take a look at a typical datamine.it results example, in other words a discrete set of values of each report in our website, while we do wait for your data sets! attribute (let’s say a person’s reply to a survey, a product’s characteristics in a list of products, quarter updates in a 3
  • 4. DATAMINE.IT December 1, 2008 An example: Surveys By Athina Pandi You used to think column graphs and pies But, the question remains. Is that the most as the most insightful views you could you can expect from a data set analysis? Have you expect from a data analysis. You’ll actually gain deep insights from your data? The probably change your mind. Let’s take a answer is a clear no. Let us show you why. What follows is a set of rules that emerge from look at a survey example. a proper datamine.it analysis, even for a data set as oversimplified as the above example. Try this A simplistic one. Consider the data set graph: described in the previous page. Let’s say it refers to answers gathered through or, maybe this set of rules: a survey, or stored in your enterprise database. A typical analysis will finally come up with some If color = yellow then buy = yes graphs, like the ones following. If color = red then buy = yes If color = white then buy = yes If color = green then buy = no If color = blue then buy = no If color = black then buy = no See the difference between the almost obvious and the really insightful? Go find out more in a complete typical datamine.it report. Yes, this is what your own data set will look like, just after a week. Still considering it? Check out our blog for more case studies. And send us your data, now. And you’re probably used to consider the analysis contributing a graph like the above as, well, fruitful. Same for the following one. 4
  • 5. DATAMINE.IT December 1, 2008 A few more words about us By Eirini Lygkoni datamine.it is a group of young and passionate data engineers, each of us holding an engineering diploma from NTUA and an MSc or PhD in Applied Math, Statistics or Operations Research. We are located in Athens, Greece and London, UK. • George Tziralis is clearly a data junkie who lives on his mac. In the rare case he’s logged off, he enjoys dancing tango and organizing Open Coffee meetings around Greece. Apart from that, at 26 he is a serial entrepreneur, while he also teaches a data mining post-graduate course via blog and tries to find some time to write up his PhD Thesis on markets for forecasting. • Athina Pandi is -among datamine.it- on her second MSc at Imperial College. Communications & Signal Processing is her late interest, next to statistics, data mining and networks. When she is offline, you may find her in a pub around Hyde park. • Eleftheria Kanavou, with a strong tendency in dancing, is the one who naturally gives rhythm to the whole team. Her research interests include stochastic processes and behavioral statistics, while data mining is the physical outlet of her entrepreneurial attitude.  • Manos Androulakis is the algo geek of the team. The biggest the challenge and the data set, the most determined he is for the next diamond to mine. His expertise lies in the areas of statistical designs, variable selection methods and medical applications, under the prism of data mining of course. • Eirini Lygkoni is the epitome of doing magic under pressure. A multi-tasker by nature, she is data is our passion and mining our joy addicted to statistics and probabilities, while she We literally can’t wait literally can’t wait for the next data set to arrive. At to put our hands on your data; get ready the same time, simplicity is her favorite word and to be impressed -or socializing her selection of choice for her rare free even excited- from the precious insights that time. Enough said.  you’ll receive in just a • Lina Massou stands as the quiet power of the week. team. With a strong background in information theory and cryptography, she definitely is the one to take good care of your data and come up with their very knowledge, unveiled. • Anna Skountzou excels at both statistics research and ecological conscience. That said, she’s definitely the one to look for, when you are looking at extracting patterns to let you put your data into much more efficient use, their green footprint included.  • Iro Zacharidou is a true data nut, next to a party animal, putting her deep statistical expertise aside. If you wonder about the outcome of these DATAMINE.IT coming together, rest assured that the required Athens, Greece | London, UK amount of persistence and professionalism to put go@datamine.it your data into investigation will be largely outrun. http://www.datamine.it