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» On compressing frequent patterns
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ECML
2007
Springer
15 years 8 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes
ER
2008
Springer
108views Database» more  ER 2008»
15 years 5 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene
ICIP
2009
IEEE
16 years 5 months ago
Selective And Scalable Encryption Of Enhancement Layers For Dyadic Scalable H.264/avc By Scrambling Of Scan Patterns
This paper presents a new selective and scalable encryption (SSE) method for intra dyadic scalable coding framework based on wavelet/subband (DWTSB) for H.264/AVC. It has been ach...
SIGMOD
2008
ACM
136views Database» more  SIGMOD 2008»
16 years 4 months ago
Mining relationships among interval-based events for classification
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
Dhaval Patel, Wynne Hsu, Mong-Li Lee
ICIP
2009
IEEE
15 years 11 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi