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SIGKDD
2008
124views more  SIGKDD 2008»
15 years 4 months ago
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report
WebKDD was held in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), August 24, 2008, in Henderson/Las Vegas, Nevada...
Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaï...
140
Voted
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 11 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 8 months 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
169
Voted
DAWAK
2010
Springer
15 years 5 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
129
Voted
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 10 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo