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» Warehousing and Analyzing Massive RFID Data Sets
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ICDE
2010
IEEE
408views Database» more  ICDE 2010»
14 years 2 months ago
Hive - a petabyte scale data warehouse using Hadoop
— The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensiv...
Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, Zhen...
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
14 years 1 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
IDA
2005
Springer
14 years 1 months ago
A Knowledge-Based Model for Analyzing GSM Network Performance
Abstract. In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements ...
Pasi Lehtimäki, Kimmo Raivio
PERCOM
2007
ACM
14 years 7 months ago
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Also, effectively monitoring a large field by analyzing images from m...
Yunhao Liu, Lei Chen 0002, Jian Pei, Qiuxia Chen, ...
IPPS
2009
IEEE
14 years 2 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader