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03457nam a22003615i 4500 |
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000282324 |
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20211102164049.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
| 020 |
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|a 9783540784883
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| 024 |
7 |
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|a 10.1007/978-3-540-78488-3
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Data Mining: Foundations and Practice /
|c edited by Tsau Young Lin, Ying Xie, Anita Wasilewska, Churn-Jung Liau.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
# |
# |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XVI, 562 p. 129 illus., 25 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|v 118
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| 505 |
0 |
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|a Compact Representations of Sequential Classification Rules -- An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions -- Mining Linguistic Trends from Time Series -- Latent Semantic Space for Web Clustering -- A Logical Framework for Template Creation and Information Extraction -- A Bipolar Interpretation of Fuzzy Decision Trees -- A Probability Theory Perspective on the Zadeh Fuzzy System -- Three Approaches to Missing Attribute Values: A Rough Set Perspective -- MLEM2 Rule Induction Algorithms: With and Without Merging Intervals -- Towards a Methodology for Data Mining Project Development: The Importance of Abstraction -- Fining Active Membership Functions in Fuzzy Data Mining -- A Compressed Vertical Binary Algorithm for Mining Frequent Patterns -- Naïve Rules Do Not Consider Underlying Causality -- Inexact Multiple-Grained Causal Complexes -- Does Relevance Matter to Data Mining Research? -- E-Action Rules -- Mining E-Action Rules, System DEAR -- Definability of Association Rules and Tables of Critical Frequencies -- Classes of Association Rules: An Overview -- Knowledge Extraction from Microarray Datasets Using Combined Multiple Models to Predict Leukemia Types -- On the Complexity of the Privacy Problem in Databases -- Ensembles of Least Squares Classifiers with Randomized Kernels -- On Pseudo-Statistical Independence in a Contingency Table -- Role of Sample Size and Determinants in Granularity of Contingency Matrix -- Generating Concept Hierarchies from User Queries -- Mining Efficiently Significant Classification Association Rules -- Data Preprocessing and Data Mining as Generalization -- Capturing Concepts and Detecting Concept-Drift from Potential Unbounded, Ever-Evolving and High-Dimensional Data Streams -- A Conceptual Framework of Data Mining -- How to Prevent Private Data from being Disclosed to a Malicious Attacker -- Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data -- Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method.
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| 650 |
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0 |
|a Applied mathematics.
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| 650 |
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0 |
|a Engineering mathematics.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Mathematical and Computational Engineering.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 700 |
1 |
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|a Lin, Tsau Young.
|e editor.
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| 700 |
1 |
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|a Xie, Ying.
|e editor.
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| 700 |
1 |
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|a Wasilewska, Anita.
|e editor.
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| 700 |
1 |
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|a Liau, Churn-Jung.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 900 |
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|a Libro descargado a ALEPH en bloque (proveniente de proveedor)
|