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» Clustering by pattern similarity in large data sets
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ICDE
2007
IEEE
182views Database» more  ICDE 2007»
16 years 8 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
HPCA
2009
IEEE
16 years 7 months ago
PageNUCA: Selected policies for page-grain locality management in large shared chip-multiprocessor caches
As the last-level on-chip caches in chip-multiprocessors increase in size, the physical locality of on-chip data becomes important for delivering high performance. The non-uniform...
Mainak Chaudhuri
IADIS
2004
15 years 8 months ago
Mining Relaxed Graph Properties in Internet
Many real world datasets are represented in the form of graphs. The classical graph properties found in the data, like cliques or independent sets, can reveal new interesting info...
Wilhelmiina Hämäläinen, Hannu Toivo...
FECS
2006
152views Education» more  FECS 2006»
15 years 8 months ago
Infusing Critical Thinking Skill Compare and Contrast into Content of Data Structures Course
This paper describes some of our efforts in infusing the critical thinking skill of comparing and contrasting into a course on data structures. Comparing and contrasting is the pr...
M. R. K. Krishna Rao, Muhammad Shafique, Kanaan A....
SAC
2004
ACM
16 years 1 days ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra