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» The Power of Temporal Proofs
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KDD
2008
ACM
164views Data Mining» more  KDD 2008»
15 years 10 months ago
Microscopic evolution of social networks
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
SIGMOD
2009
ACM
202views Database» more  SIGMOD 2009»
15 years 9 months ago
ZStream: a cost-based query processor for adaptively detecting composite events
Composite (or Complex) event processing (CEP) systems search sequences of incoming events for occurrences of userspecified event patterns. Recently, they have gained more attentio...
Yuan Mei, Samuel Madden
EDBT
2006
ACM
122views Database» more  EDBT 2006»
15 years 9 months ago
TQuEST: Threshold Query Execution for Large Sets of Time Series
Effective and efficient data mining in time series databases is essential in many application domains as for instance in financial analysis, medicine, meteorology, and environmenta...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 7 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
130
Voted
ICCD
2008
IEEE
420views Hardware» more  ICCD 2008»
15 years 6 months ago
Frequency and voltage planning for multi-core processors under thermal constraints
— Clock frequency and transistor density increases have resulted in elevated chip temperatures. In order to meet temperature constraints while still exploiting the performance op...
Michael Kadin, Sherief Reda