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» Warehousing and Mining Massive RFID Data Sets
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CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 7 months ago
CONCISE: Compressed 'n' Composable Integer Set
Bit arrays, or bitmaps, are used to significantly speed up set operations in several areas, such as data warehousing, information retrieval, and data mining, to cite a few. Howeve...
Alessandro Colantonio, Roberto Di Pietro
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 11 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
14 years 21 days ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ESANN
2006
13 years 8 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi
KDD
1997
ACM
92views Data Mining» more  KDD 1997»
13 years 11 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost