|
|
|
|
| LEADER |
02577nam a22003615i 4500 |
| 001 |
978-3-540-88067-7 |
| 005 |
20191022102545.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2009 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783540880677
|
| 024 |
7 |
|
|a 10.1007/978-3-540-88067-7
|2 doi
|
| 040 |
|
|
|a Sistema de Bibliotecas del Tecnológico de Costa Rica
|
| 245 |
1 |
0 |
|a Mining Complex Data
|c edited by Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid.
|
| 250 |
|
|
|a 1st ed. 2009.
|
| 260 |
# |
# |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
|
| 300 |
|
|
|a XII, 302 p. 114 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Studies in Computational Intelligence,
|v 165
|
| 505 |
0 |
|
|a General Aspects of Complex Data -- Using Layout Data for the Analysis of Scientific Literature -- Extracting a Fuzzy System by Using Genetic Algorithms for Imbalanced Datasets Classification: Application on Down’s Syndrome Detection -- A Hybrid Approach of Boosting Against Noisy Data -- Dealing with Missing Values in a Probabilistic Decision Tree during Classification -- Kernel-Based Algorithms and Visualization for Interval Data Mining -- Rules Extraction -- Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method -- Mining Statistical Association Rules to Select the Most Relevant Medical Image Features -- From Sequence Mining to Multidimensional Sequence Mining -- Tree-Based Algorithms for Action Rules Discovery -- Graph Data Mining -- Indexing Structure for Graph-Structured Data -- Full Perfect Extension Pruning for Frequent Subgraph Mining -- Parallel Algorithm for Enumerating Maximal Cliques in Complex Network -- Community Finding of Scale-Free Network: Algorithm and Evaluation Criterion -- The k-Dense Method to Extract Communities from Complex Networks -- Data Clustering -- Efficient Clustering for Orders -- Exploring Validity Indices for Clustering Textual Data.
|
| 650 |
|
0 |
|a Applied mathematics.
|
| 650 |
|
0 |
|a Engineering mathematics.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
1 |
4 |
|a Mathematical and Computational Engineering.
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
|
| 700 |
1 |
|
|a Zighed, Djamel A.
|e editor.
|
| 700 |
1 |
|
|a Tsumoto, Shusaku.
|e editor.
|
| 700 |
1 |
|
|a Ras, Zbigniew W.
|e editor.
|
| 700 |
1 |
|
|a Hacid, Hakim.
|e editor.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-540-88067-7
|