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» Large Scale Data Mining: Challenges and Responses
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USS
2010
15 years 3 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
16 years 3 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
IPPS
2007
IEEE
16 years 7 days ago
Challenges in Executing Data Intensive Biometric Workloads on a Desktop Grid
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, we prese...
Christopher Moretti, Timothy C. Faltemier, Douglas...
KDD
2006
ACM
160views Data Mining» more  KDD 2006»
16 years 6 months ago
Coherent closed quasi-clique discovery from large dense graph databases
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...
WSDM
2010
ACM
251views Data Mining» more  WSDM 2010»
16 years 3 months ago
Large Scale Query Log Analysis of Re-Finding
Although Web search engines are targeted towards helping people find new information, people regularly use them to re-find Web pages they have seen before. Researchers have noted ...
Jaime Teevan, Sarah K. Tyler