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IDA
2009
Springer
15 years 4 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
ICDE
2005
IEEE
180views Database» more  ICDE 2005»
16 years 7 months ago
A Unified Framework for Monitoring Data Streams in Real Time
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Ahmet Bulut, Ambuj K. Singh
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
16 years 6 months ago
Fuzzy Matching of Web Queries to Structured Data
Recognizing the alternative ways people use to reference an entity, is important for many Web applications that query structured data. In such applications, there is often a mismat...
Tao Cheng, Hady Wirawan Lauw, Stelios Paparizos
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...