Conference held April 2005, Newport Beach, California. The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems. This proceedings contains 40 regular papers and another 37 papers were accepted as poster presentations.
Author(s): Hillol Kargupta, Jaideep Srivastava, Chandrika Kamath, Arnold Goodman
Year: 2005
Language: English
Pages: 662
76YunU.pdf......Page 0
Markov chain statistics......Page 26
Random walk correlations......Page 27
Recommending as semi-supervised classification......Page 28
Expected profit......Page 29
Recommendation to maximize satisfaction......Page 30
Market analysis......Page 31
Computational strategies......Page 32
Introduction......Page 58
Map.......Page 59
Skew in Data Stream Distributions......Page 60
Upper Bounds......Page 61
An example application: Top-k items......Page 62
Moderate Skew......Page 63
Synthetic Data......Page 64
Text Data......Page 66
Timing Results......Page 67
Conclusions......Page 68
Memory-Based and Model-Based Schemes......Page 485
Baseline Schemes......Page 486
The Bi-Polar Slope One Scheme......Page 487
Experimental Results......Page 488
Conclusion......Page 489
2. Problem Definition......Page 610
3. The CBS Method......Page 611
4. Experimental Evaluation......Page 612
References......Page 613
Problem definition......Page 650
WFIM (Weighted Frequent Itemsets Mining)......Page 651
Performance Evaluation......Page 653
6. REFERENCES......Page 654
