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ICDE
2007
IEEE
129views Database» more  ICDE 2007»
13 years 11 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
DAWAK
2004
Springer
13 years 10 months ago
Categorical Data Visualization and Clustering Using Subjective Factors
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
Chia-Hui Chang, Zhi-Kai Ding
IJIT
2004
13 years 6 months ago
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data
We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entr...
George E. Tsekouras, Dimitris Papageorgiou, Sotiri...
KDD
1999
ACM
99views Data Mining» more  KDD 1999»
13 years 9 months ago
On the Merits of Building Categorization Systems by Supervised Clustering
This paper investigates the use of supervised clustering in order to create sets of categories for classi cation of documents. We use information from a pre-existing taxonomy in o...
Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu
EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 5 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...