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» On compressing frequent patterns
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ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
15 years 8 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
IJAR
2011
118views more  IJAR 2011»
14 years 7 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
SPIESR
1993
125views Database» more  SPIESR 1993»
15 years 5 months ago
Self-Aligning and Compressed Autosophy Video Databases
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Klaus Holtz
172
Voted
DFT
2006
IEEE
203views VLSI» more  DFT 2006»
15 years 9 months ago
Self Testing SoC with Reduced Memory Requirements and Minimized Hardware Overhead
This paper describes a methodology of creating a built-in diagnostic system of a System on Chip and experimental results of the system application on the AT94K FPSLIC with cores d...
Ondrej Novák, Zdenek Plíva, Jiri Jen...
153
Voted
DAWAK
2006
Springer
15 years 5 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...