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HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
15 years 12 months ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
15 years 11 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti
EMO
2005
Springer
126views Optimization» more  EMO 2005»
15 years 11 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
15 years 11 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole
INFOCOM
2003
IEEE
15 years 11 months ago
User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks
— Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in...
Sem C. Borst