Advanced Data Mining and Applications (Registro nro. 203355)

MARC details
000 -LÍDER
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001 - NÚMERO DE CONTROL
control field u375475
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812084325.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
fixed length control field cr nn 008mamaa
008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 101117s2010 gw | s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9783642173165
-- 978-3-642-17316-5
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number Q334-342
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number TJ210.2-211.495
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 006.3
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Cao, Longbing.
Relator term editor.
245 10 - MENCIÓN DE TITULO
Title Advanced Data Mining and Applications
Medium [recurso electrónico] :
Remainder of title 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I /
Statement of responsibility, etc. edited by Longbing Cao, Yong Feng, Jiang Zhong.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - DESCRIPCIÓN FÍSICA
Extent XIII, 628p. 221 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume/sequential designation 6440
505 0# - NOTA DE CONTENIDO
Formatted contents note Data Mining Foundations -- Cost Sensitive Classification in Data Mining -- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory -- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test -- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining -- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering -- On Probabilistic Models for Uncertain Sequential Pattern Mining -- Cube Based Summaries of Large Association Rule Sets -- A Perceptron-Like Linear Supervised Algorithm for Text Classification -- Research on Time Series Forecasting Model Based on Moore Automata -- A Clustering Algorithm FCM-ACO for Supplier Base Management -- Nearest Neighbour Distance Matrix Classification -- Classification Inductive Rule Learning with Negated Features -- Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces -- DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining -- An Improved Rough Clustering Using Discernibility Based Initial Seed Computation -- Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling -- Topic-Constrained Hierarchical Clustering for Document Datasets -- Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach -- MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN -- An Efficient Algorithm for Mining Erasable Itemsets -- Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series -- Deep Web Sources Classifier Based on DSOM-EACO Clustering Model -- Kernel Based K-Medoids for Clustering Data with Uncertainty -- Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery -- Spatial Neighborhood Clustering Based on Data Field -- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier -- A Centroid k-Nearest Neighbor Method -- Mining Spatial Association Rules with Multi-relational Approach -- An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm -- A Novel Clustering Algorithm Based on Gravity and Cluster Merging -- Data Mining in Specific Areas -- Evolution Analysis of a Mobile Social Network -- Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks -- Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution -- Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data -- Frequent Pattern Trend Analysis in Social Networks -- Efficient Privacy-Preserving Data Mining in Malicious Model -- Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm -- Formal Concept Analysis Based Clustering for Blog Network Visualization -- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach -- Weigted-FP-Tree Based XML Query Pattern Mining -- Privacy-Preserving Data Mining in Presence of Covert Adversaries -- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs -- Combating Link Spam by Noisy Link Analysis -- High Dimensional Image Categorization -- Efficiently Mining Co-Location Rules on Interval Data -- Multiple Attribute Frequent Mining-Based for Dengue Outbreak -- A Top-Down Approach for Hierarchical Cluster Exploration by Visualization -- Distributed Frequent Items Detection on Uncertain Data -- Mining Uncertain Sentences with Multiple Instance Learning -- WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data -- TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support -- Research on Similarity Matching for Multiple Granularities Time-Series Data -- A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks -- Investigating Sequential Patterns of DNS Usage and Its Applications -- Key Issues and Theoretical Framework on Moving Objects Data Mining -- An Improved KNN Based Outlier Detection Algorithm for Large Datasets -- Some Developments of Determinacy Analysis -- A New Computational Framework for Gene Expression Clustering -- Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree -- Inspired Rule-Based User Identification.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.
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650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer science.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer Communication Networks.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Database management.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Data mining.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Information storage and retrieval systems.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Information systems.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial intelligence.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer Science.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Information Systems Applications (incl.Internet).
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Information Storage and Retrieval.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Database Management.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer Communication Networks.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Feng, Yong.
Relator term editor.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Zhong, Jiang.
Relator term editor.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642173158
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 6440
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-17316-5">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-17316-5</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
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