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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
ICCS
2003
Springer
14 years 24 days ago
Design and Evaluation of Distributed Smart Disk Architecture for I/O-Intensive Workloads
Smart disks, a type of processor-embedded active I/O devices, with their on-disk memory and network interface controller, can be viewed as processing elements with attached storage...
Steve C. Chiu, Wei-keng Liao, Alok N. Choudhary
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
13 years 12 months ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski
SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
13 years 12 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
CLIMA
2004
13 years 9 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis