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KDD
2010
ACM
300views Data Mining» more  KDD 2010»
14 years 24 days ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
IEAAIE
2000
Springer
14 years 15 days ago
Information Management and Process Improvement Using Data Mining Techniques
This paper describes a computer component manufacturing scenario which concentrates on the application of data mining techniques to improve information management and process impr...
W. M. Gibbons, Mervi Ranta, T. M. Scott, Martti M&...
ACL
2009
13 years 6 months ago
Mining Bilingual Data from the Web with Adaptively Learnt Patterns
Mining bilingual data (including bilingual sentences and terms1 ) from the Web can benefit many NLP applications, such as machine translation and cross language information retrie...
Long Jiang, Shiquan Yang, Ming Zhou, Xiaohua Liu, ...
IKE
2007
13 years 10 months ago
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining
- We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Met...
David Luper, Delroy Cameron, John Miller, Hamid R....
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang