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» Scalable Keyword Search on Large Data Streams
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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
15 years 12 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
16 years 5 days ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
GIS
2008
ACM
16 years 25 days ago
Sharing and exploring sensor streams over geocentric interfaces
We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams. SenseWeb allows sensor owners to share data streams across ...
Liqian Luo, Aman Kansal, Suman Nath, Feng Zhao
VLDB
2006
ACM
190views Database» more  VLDB 2006»
15 years 12 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
115
Voted
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
15 years 9 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