Sciweavers

BNCOD
2003
127views Database» more  BNCOD 2003»
14 years 25 days ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
DMIN
2006
239views Data Mining» more  DMIN 2006»
14 years 25 days ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
ICMLA
2008
14 years 27 days ago
Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
Peer-to-peer (P2P) networks are distributed systems in which nodes of equal roles and capabilities exchange information and services directly with each other. In recent years, the...
Haimonti Dutta, Ananda Matthur
PAKDD
2010
ACM
215views Data Mining» more  PAKDD 2010»
14 years 1 months ago
Mining Closed Episodes from Event Sequences Efficiently
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
Wenzhi Zhou, Hongyan Liu, Hong Cheng
BPM
2006
Springer
111views Business» more  BPM 2006»
14 years 1 months ago
Process Mining and Petri Net Synthesis
The theory of regions and the algorithms for synthesizing a Petri net model from a transition system, which are based on this theory, have interesting practical applications
Ekkart Kindler, Vladimir Rubin, Wilhelm Schäf...
CIKM
2009
Springer
14 years 2 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
14 years 3 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool
CIKM
2006
Springer
14 years 3 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
DAWAK
2004
Springer
14 years 3 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
14 years 3 months ago
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa