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ICDE
1998
IEEE
70views Database» more  ICDE 1998»
14 years 9 months ago
Point-Versus Interval-Based Temporal Data Models
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamp...
Michael H. Böhlen, Renato Busatto, Christian ...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 10 months ago
Temporal Analytics on Big Data for Web Advertising
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
CAISE
2003
Springer
14 years 27 days ago
Real-time Data Warehousing with Temporal Requirements
Abstract. Flexibility to react on rapidly changing general conditions of the environment has become a key factor for economic success of any company. The competitiveness of an ente...
Francisco Araque
CIKM
2004
Springer
14 years 1 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar