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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 3 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
14 years 3 months ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 3 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 3 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken
ICDM
2008
IEEE
148views Data Mining» more  ICDM 2008»
14 years 3 months ago
Formal Models for Expert Finding on DBLP Bibliography Data
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a...
Hongbo Deng, Irwin King, Michael R. Lyu
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 3 months ago
Quantitative Association Analysis Using Tree Hierarchies
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
Feng Pan, Lynda Yang, Leonard McMillan, Fernando P...
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
14 years 3 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 3 months ago
Spatiotemporal Relational Probability Trees: An Introduction
Amy McGovern, Nathan C. Hiers, Matthew W. Collier,...
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
14 years 3 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan