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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 10 months ago
Automatic multimedia cross-modal correlation discovery
Given an image (or video clip, or audio song), how do we automatically assign keywords to it? The general problem is to find correlations across the media in a collection of multi...
Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, ...
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
14 years 10 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
VLDB
2004
ACM
152views Database» more  VLDB 2004»
14 years 10 months ago
Balancing energy efficiency and quality of aggregate data in sensor networks
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas related to further reducing energy co...
Mohamed A. Sharaf, Jonathan Beaver, Alexandros Lab...
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 10 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo