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» Hashing Methods for Temporal Data
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129
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ICTAI
2002
IEEE
15 years 7 months ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
135
Voted
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 8 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
141
Voted
CIKM
2006
Springer
15 years 6 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
131
Voted
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 3 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
152
Voted
EUROSSC
2009
Springer
15 years 9 months ago
Automatic Event-Based Synchronization of Multimodal Data Streams from Wearable and Ambient Sensors
A major challenge in using multi-modal, distributed sensor systems for activity recognition is to maintain a temporal synchronization between individually recorded data streams. A ...
David Bannach, Oliver Amft, Paul Lukowicz