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» Active Mining in a Distributed Setting
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131
Voted
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 3 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 24 days ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
144
Voted
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
16 years 24 days ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
121
Voted
IEEEPACT
2008
IEEE
15 years 10 months ago
The PARSEC benchmark suite: characterization and architectural implications
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Prev...
Christian Bienia, Sanjeev Kumar, Jaswinder Pal Sin...
140
Voted
MSR
2006
ACM
15 years 9 months ago
Fine grained indexing of software repositories to support impact analysis
Versioned and bug-tracked software systems provide a huge amount of historical data regarding source code changes and issues management. In this paper we deal with impact analysis...
Gerardo Canfora, Luigi Cerulo