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PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
PAKDD
2007
ACM
109views Data Mining» more  PAKDD 2007»
14 years 2 months ago
A Language and a Visual Interface to Specify Complex Spatial Patterns
The emerging interests in spatial pattern mining lead to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language cou...
Xiaohui Li, Yan Huang
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 2 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 2 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
KDD
2007
ACM
127views Data Mining» more  KDD 2007»
14 years 2 months ago
Extracting relevant named entities for automated expense reimbursement
Guangyu Zhu, Timothy J. Bethea, Vikas Krishna
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
14 years 2 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
KDD
2007
ACM
145views Data Mining» more  KDD 2007»
14 years 2 months ago
Tracking multiple topics for finding interesting articles
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...
KDD
2007
ACM
138views Data Mining» more  KDD 2007»
14 years 2 months ago
High-quantile modeling for customer wallet estimation and other applications
In this paper we discuss the important practical problem of customer wallet estimation, i.e., estimation of potential spending by customers (rather than their expected spending). ...
Claudia Perlich, Saharon Rosset, Richard D. Lawren...
ICCS
2007
Springer
14 years 2 months ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...