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» Experiments with a New Boosting Algorithm
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KDD
2002
ACM
182views Data Mining» more  KDD 2002»
15 years 10 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty
CHI
2002
ACM
15 years 10 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
VLDB
2007
ACM
121views Database» more  VLDB 2007»
15 years 10 months ago
Ranked Subsequence Matching in Time-Series Databases
Existing work on similar sequence matching has focused on either whole matching or range subsequence matching. In this paper, we present novel methods for ranked subsequence match...
Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Haifeng ...
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
15 years 10 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
EDBT
2004
ACM
187views Database» more  EDBT 2004»
15 years 10 months ago
Hierarchical In-Network Data Aggregation with Quality Guarantees
Earlier work has demonstrated the effectiveness of in-network data aggregation in order to minimize the amount of messages exchanged during continuous queries in large sensor netwo...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...