Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241899" target="_blank" >RIV/61989100:27240/18:10241899 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-67220-5_18" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-67220-5_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67220-5_18" target="_blank" >10.1007/978-3-319-67220-5_18</a>
Alternative languages
Result language
angličtina
Original language name
Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases
Original language description
Constraint-based methods for mining patterns have been developed in recent years. They are based on top-down manner to prune candidate patterns. However, for colossal pattern mining, bottom-up manners are efficient methods, so the previous approaches for pruning candidate patterns based on top-down manner cannot apply to colossal pattern mining with constraint when using bottom-up manner. In this paper, we state the problem of mining colossal pattern with pattern constraints. Next, we develop a theorem for efficient pruning candidate patterns with bottom-up manner. Finally, we propose an efficient algorithm for mining colossal patterns with pattern constraints based on this theorem.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 655
ISBN
978-3-319-67219-9
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
195-204
Publisher name
Springer
Place of publication
Cham
Event location
Szklarska Poręba
Event date
Sep 17, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000452449500018