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IJCAI
2003
15 years 18 days ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 4 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
CAISE
2004
Springer
15 years 4 months ago
Business Alignment: Using Process Mining as a Tool for Delta Analysis
Fueled by the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), process mining has become a vivid research area. Until rece...
Wil M. P. van der Aalst
OSDI
2008
ACM
15 years 11 months ago
Carnegie Mellon's CyDAT: Harnessing a Wide Array of Telemetry Data to Enhance Distributed System Diagnostics
The number and complexity of distributed applications has exploded, and to-date, each has had to create its own method for providing diagnostic tools and performance metrics. Thes...
Chas DiFatta, Mark Poepping, Daniel V. Klein
WSDM
2010
ACM
265views Data Mining» more  WSDM 2010»
15 years 8 months ago
Data-oriented Content Query System: Searching for Data into Text on the Web
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Kevin Chen-Chuan Chang, Mianwei Zhou, Tao Cheng