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SIGKDD
2000
106views more  SIGKDD 2000»
13 years 4 months ago
Data mining for hypertext: A tutorial survey
With over 800 million pages covering most areas of human endeavor, the World-wide Web is a fertile ground for data mining research to make a di erence to the e ectiveness of infor...
Soumen Chakrabarti
SIGKDD
2000
96views more  SIGKDD 2000»
13 years 4 months ago
Phenomenal Data Mining: From Data to Phenomena
Phenomenal data mining finds relations between the data and the phenomena that give rise to data rather than just relations among the data. For example, suppose supermarket cash r...
John McCarthy
SIGKDD
2000
95views more  SIGKDD 2000»
13 years 4 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
SIGKDD
2000
237views more  SIGKDD 2000»
13 years 4 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
KAIS
2000
87views more  KAIS 2000»
13 years 4 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...