Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
32
click to vote
KDID
2004
favorite
Email
discuss
report
121
views
Database
»
more
KDID 2004
»
Constraint Relaxations for Discovering Unknown Sequential Patterns
14 years 5 days ago
Download
web.ist.utl.pt
The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted
Cláudia Antunes, Arlindo L. Oliveira
Real-time Traffic
Database
|
KDID 2004
|
Mining Process
|
Sequential Patterns
|
User Expectations
|
claim paper
Related Content
»
Gene Teams with Relaxed Proximity Constraint
»
Video Data Mining Mining Semantic Patterns with temporal constraints from Movies
»
Mining Sequential Patterns
»
SLPMiner An Algorithm for Finding Frequent Sequential Patterns Using LengthDecreasing Supp...
»
Discovery of Sequential Patterns Coinciding with Analysts Interests
»
SPIRIT Sequential Pattern Mining with Regular Expression Constraints
»
Permupattern discovery of mutable permutation patterns with proximity constraint
»
Structural Patterns of Tractable SequentiallyOptimal Planning
»
Firstorder temporal pattern mining with regular expression constraints
more »
Post Info
More Details (n/a)
Added
31 Oct 2010
Updated
31 Oct 2010
Type
Conference
Year
2004
Where
KDID
Authors
Cláudia Antunes, Arlindo L. Oliveira
Comments
(0)
Researcher Info
Database Study Group
Computer Vision