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» On compressing frequent patterns
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153
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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 3 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
130
Voted
ICIP
2009
IEEE
15 years 1 months ago
Component-based image coding using non-local means filtering and an autoregressive texture model
While noise is usually regarded as a problem of the image formation process, we observe that it is also frequently part of natural texture. In this paper, we present a concept for...
Johannes Ballé, Bastian Jurczyk, Aleksandar...
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
136
Voted
ICCD
2003
IEEE
130views Hardware» more  ICCD 2003»
16 years 17 days ago
On Combining Pinpoint Test Set Relaxation and Run-Length Codes for Reducing Test Data Volume
This paper presents a pinpoint test set relaxation method for test compression that maximally derives the capability of a run-length encoding technique such as Golomb coding or fr...
Seiji Kajihara, Yasumi Doi, Lei Li, Krishnendu Cha...
153
Voted
EDBT
2011
ACM
199views Database» more  EDBT 2011»
14 years 7 months ago
Finding closed frequent item sets by intersecting transactions
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
Christian Borgelt, Xiaoyuan Yang, Rubén Nog...