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SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
16 years 3 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
ADBIS
2006
Springer
81views Database» more  ADBIS 2006»
16 years 17 days ago
SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources
Web communities involve networks of loosely coupled data sources. Members in those communities should be able to pose queries and gather results from all data sources in the networ...
Eirini Spyropoulou, Theodore Dalamagas
COOPIS
2004
IEEE
15 years 10 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
CLOUD
2010
ACM
15 years 11 months ago
Google fusion tables: data management, integration and collaboration in the cloud
Google Fusion Tables is a cloud-based service for data management and integration. Fusion Tables enables users to upload tabular data files (spreadsheets, CSV, KML), currently of...
Hector Gonzalez, Alon Y. Halevy, Christian S. Jens...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu