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» Scalable Data Mining with Model Constraints
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WISE
2010
Springer
13 years 5 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach
SAC
2004
ACM
14 years 1 months ago
Creation and management of versions in multiversion data warehouse
A data warehouse (DW) provides an information for analytical processing, decision making, and data mining tools. On the one hand, the structure and content of a data warehouse ref...
Bartosz Bebel, Johann Eder, Christian Koncilia, Ta...
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 10 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
14 years 8 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
14 years 1 months ago
Frame-level data reuse for motion-compensated temporal filtering
— Motion-compensated temporal filtering (MCTF) is an open-loop prediction scheme, so the frame-level data reuse for MCTF is possible. In this paper, we propose two general frame...
Ching-Yeh Chen, Yi-Hau Chen, Chih-Chi Cheng, Liang...