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» Optimizing Frequency Queries for Data Mining Applications
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ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
14 years 2 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
ICDIM
2010
IEEE
13 years 7 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 9 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 9 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin