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» Set cover algorithms for very large datasets
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CIKM
2006
Springer
15 years 8 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
HAIS
2009
Springer
15 years 10 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
VLSID
2007
IEEE
92views VLSI» more  VLSID 2007»
16 years 6 months ago
Floorplanning in Modern FPGAs
State-of-the-art FPGA architectures have millions of gates in CLBs, Block RAMs, and Multiplier blocks which can host fairly large designs. While their physical design calls for oor...
Pritha Banerjee, Susmita Sur-Kolay, Arijit Bishnu
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
16 years 7 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 6 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy