Advanced Data Mining and Applications (Record no. 21320)

MARC details
000 -LEADER
fixed length control field 07935nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-540-73871-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170628034739.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2007 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540738718
-- 978-3-540-73871-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-540-73871-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Alhajj, Reda.
Relator term editor.
245 10 - TITLE STATEMENT
Title Advanced Data Mining and Applications
Medium [electronic resource] :
Remainder of title Third International Conference, ADMA 2007 Harbin, China, August 6-8, 2007. Proceedings /
Statement of responsibility, etc edited by Reda Alhajj, Hong Gao, Jianzhong Li, Xue Li, Osmar R. Zaïane.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 636 p. 201 illus.
Other physical details online resource.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 4632
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Invited Talk -- Mining Ambiguous Data with Multi-instance Multi-label Representation -- Regular Papers -- DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams -- Exploring Content and Linkage Structures for Searching Relevant Web Pages -- CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search -- Rough Sets in Hybrid Soft Computing Systems -- Discovering Novel Multistage Attack Strategies -- Privacy Preserving DBSCAN Algorithm for Clustering -- A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph -- A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding -- A k-Anonymity Clustering Method for Effective Data Privacy Preservation -- LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology -- A Coding Hierarchy Computing Based Clustering Algorithm -- Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets -- Survey of Improving Naive Bayes for Classification -- Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases -- Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree -- Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams -- Spatial Fuzzy Clustering Using Varying Coefficients -- Collaborative Target Classification for Image Recognition in Wireless Sensor Networks -- Dimensionality Reduction for Mass Spectrometry Data -- The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining -- Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints -- Efficiently Monitoring Nearest Neighbors to a Moving Object -- A Novel Text Classification Approach Based on Enhanced Association Rule -- Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction -- Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm -- A Consensus Recommender for Web Users -- Constructing Classification Rules Based on SVR and Its Derivative Characteristics -- Hiding Sensitive Associative Classification Rule by Data Reduction -- AOG-ags Algorithms and Applications -- A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier -- Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor -- A Similarity Retrieval Method in Brain Image Sequence Database -- A Criterion for Learning the Data-Dependent Kernel for Classification -- Topic Extraction with AGAPE -- Clustering Massive Text Data Streams by Semantic Smoothing Model -- GraSeq: A Novel Approximate Mining Approach of Sequential Patterns over Data Stream -- A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data -- Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering -- How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks -- Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites -- Bayesian Network Structure Ensemble Learning -- Fusion of Palmprint and Iris for Personal Authentication -- Enhanced Graph Based Genealogical Record Linkage -- A Fuzzy Comprehensive Clustering Method -- Short Papers -- CACS: A Novel Classification Algorithm Based on Concept Similarity -- Data Mining in Tourism Demand Analysis: A Retrospective Analysis -- Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction -- Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis -- Research on the Traffic Matrix Based on Sampling Model -- A Causal Analysis for the Expenditure Data of Business Travelers -- A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering -- Explorative Data Mining on Stock Data – Experimental Results and Findings -- Graph Structural Mining in Terrorist Networks -- Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming -- Locally Discriminant Projection with Kernels for Feature Extraction -- A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content – Based Image Retrieval -- E-Stream: Evolution-Based Technique for Stream Clustering -- H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks -- An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting.
520 ## - SUMMARY, ETC.
Summary, etc The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi’an in 2006. One major goal of ADMA is to create a respectable identity in the data mining research com- nity. This feat has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. The impact of a conference is measured by the citations the conference papers receive. Some have used this measure to rank conferences. For example, the independent source cs-conference-ranking.org ranks ADMA (0.65) higher than PAKDD (0.64) and PKDD (0.62) as of June 2007, which are well established conferences in data mining. While the ranking itself is questionable because the exact procedure is not disclosed, it is nevertheless an encouraging indicator of recognition for a very young conference such as ADMA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Appl. in Administrative Data Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information Systems Applications (incl. Internet).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gao, Hong.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Jianzhong.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Xue.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaïane, Osmar R.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
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
Display text Printed edition:
International Standard Book Number 9783540738701
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 0302-9743 ;
Volume number/sequential designation 4632
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-540-73871-8">http://dx.doi.org/10.1007/978-3-540-73871-8</a>
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Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-44499 28/06/2017 28/06/2017 E-Book

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