mining-research.blogspot.com

Data Mining Research

Tuesday, August 14, 2007. Theory of Data Mining. When people ask what data mining is, I often reply by saying "It is hard to define but if you look at what data miners do then one easily notices that they are working on problems which are a composition of four underlying subproblems: classification, clustering, pattern search and outlier detection." Can these four problems be abstracted further? I think the correct way of thinking of association rule mining or. Posted by data mining research at 3:37 AM.

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Data Mining Research | mining-research.blogspot.com Reviews

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Tuesday, August 14, 2007. Theory of Data Mining. When people ask what data mining is, I often reply by saying It is hard to define but if you look at what data miners do then one easily notices that they are working on problems which are a composition of four underlying subproblems: classification, clustering, pattern search and outlier detection. Can these four problems be abstracted further? I think the correct way of thinking of association rule mining or. Posted by data mining research at 3:37 AM.

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Data Mining Research | mining-research.blogspot.com Reviews

https://mining-research.blogspot.com

Tuesday, August 14, 2007. Theory of Data Mining. When people ask what data mining is, I often reply by saying "It is hard to define but if you look at what data miners do then one easily notices that they are working on problems which are a composition of four underlying subproblems: classification, clustering, pattern search and outlier detection." Can these four problems be abstracted further? I think the correct way of thinking of association rule mining or. Posted by data mining research at 3:37 AM.

INTERNAL PAGES

mining-research.blogspot.com

1

Data Mining Research: Closet Data Miners

http://mining-research.blogspot.com/2006/10/closet-data-miners.html

Wednesday, October 11, 2006. When one of our papers was rejected at IEEE ICDM 2006, one of the reviewers can down on "association rule mining" like a ton-of-bricks. He (or She) made the preposterous claim that association rule mining cannot be used for classification because it is based on frequency and we should look at other machine learning based algorithms! Posted by data mining research at 3:38 AM. Unfortunately, data mining is not a very theory-driven field. View my complete profile.

2

Data Mining Research: Shortest Path to Statistical Competence

http://mining-research.blogspot.com/2007/03/shortest-path-to-statistical.html

Thursday, March 29, 2007. Shortest Path to Statistical Competence. We get a lot of students in our data mining course. Who have little or no statistical background. This semester I am using Larry Wasserman's excellent textbook on statistics " All of Statistics. As a lead in to Tan, Steinbach and Kumar's book on Data Mining. Teaching real and serious data mining is a challenge but it is not unexciting. Posted by data mining research at 4:50 PM. View my complete profile. IEEE ICDM Conference in HK.

3

Data Mining Research: Theory of Data Mining

http://mining-research.blogspot.com/2007/08/theory-of-data-mining.html

Tuesday, August 14, 2007. Theory of Data Mining. When people ask what data mining is, I often reply by saying "It is hard to define but if you look at what data miners do then one easily notices that they are working on problems which are a composition of four underlying subproblems: classification, clustering, pattern search and outlier detection." Can these four problems be abstracted further? I think the correct way of thinking of association rule mining or. Posted by data mining research at 3:37 AM.

4

Data Mining Research: June 2006

http://mining-research.blogspot.com/2006_06_01_archive.html

Thursday, June 22, 2006. Industrial Strength Data Mining. In one of the panel sessions in PAKDD 2006, Prabhakhar Raghavan, the head of Yahoo Research revealed that Yahoo collects approx. 10 terabytes of data everyday! It is clear that in the next decade or so, Yahoo and Google are likely to spend more research dollars on "data mining" than "database management.". Classification is useful but there are many applications where getting labeled data is not only exteremly expensive but. I think there are thre...

5

Data Mining Research: Industrial Strength Data Mining

http://mining-research.blogspot.com/2006/06/industrial-strength-data-mining.html

Thursday, June 22, 2006. Industrial Strength Data Mining. In one of the panel sessions in PAKDD 2006, Prabhakhar Raghavan, the head of Yahoo Research revealed that Yahoo collects approx. 10 terabytes of data everyday! It is clear that in the next decade or so, Yahoo and Google are likely to spend more research dollars on "data mining" than "database management.". Classification is useful but there are many applications where getting labeled data is not only exteremly expensive but. I think there are thre...

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mining-research.blogspot.com

Data Mining Research

Tuesday, August 14, 2007. Theory of Data Mining. When people ask what data mining is, I often reply by saying "It is hard to define but if you look at what data miners do then one easily notices that they are working on problems which are a composition of four underlying subproblems: classification, clustering, pattern search and outlier detection." Can these four problems be abstracted further? I think the correct way of thinking of association rule mining or. Posted by data mining research at 3:37 AM.

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