Sciweavers

102 search results - page 18 / 21
» On the Complexity of Mining Temporal Trends
Sort
View
IDA
2006
Springer
14 years 9 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
99
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
15 years 10 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
ICDE
2008
IEEE
214views Database» more  ICDE 2008»
15 years 11 months ago
Efficient Online Subsequence Searching in Data Streams under Dynamic Time Warping Distance
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
Mi Zhou, Man Hon Wong