skip to content
The 3rd International Workshop on Intelligent Data Analysis and Management Preview this item
ClosePreview this item
Checking...

The 3rd International Workshop on Intelligent Data Analysis and Management

Author: Lorna Uden
Publisher: Dordrecht : Springer, 2013.
Series: Springer proceedings in complexity
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung, Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Conference proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lorna Uden
ISBN: 9789400772939 9400772939 9400772920 9789400772922
OCLC Number: 857230044
Description: 1 online resource (x, 132 pages) : illustrations.
Contents: An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies / Galit Shmueli, Ron Kenett --
Memory-Aware Mining of Indirect Associations Over Data Streams / Wen-Yang Lin, Shun-Fa Yang, Tzung-Pei Hong --
Graph-Based Batch Mode Active Learning / Cheong Hee Park --
One Pass Outlier Detection for Streaming Categorical Data / Swee Chuan Tan, Si Hao Yip, Ashfaqur Rahman --
Measuring of QoE for Cloud Applications / Yu-Hui Tao, Yu-Lung Wu, Chi-Jui Chang --
Mining Weighted Partial Periodic Patterns / Kung-Jiuan Yang, Tzung-Pei Hong --
Edge Selection for Degree Anonymization on K Shortest Paths / Shyue-Liang Wang, Ching-Chuan Shih --
K-Neighborhood Shortest Path Privacy in the Cloud / Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting --
The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era / Chian-Hsueng Chao --
Website Navigation Recommendation Based on Reinforcement Learning Technique / Yin-Ling Tang, I-Hsien Ting --
An Approach for Hate Groups Detection in Facebook / I-Hsien Ting, Hsing-Miao Chi, Jyun-Sing Wu --
Toward Crowdsourcing Data Mining / Hsin-Chang Yang, Chung-Hong Lee --
Wireless Security Analysis Using WarDrive Investigation in Kaohsiung Areas / Hanwei Hsiao, Tienhe Chang, ChihChe Chang --
Guanxi Buying in the Social Media Environment / Cathy S. Lin, Shin Yan Lu --
Introspection of Unauthorized Sharing on Social Networking Sites / Cathy S. Lin, Ting-Yi Lin.
Series Title: Springer proceedings in complexity
Responsibility: Lorna Uden [and 4 more], editors.

Abstract:

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung, Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/857230044> # The 3rd International Workshop on Intelligent Data Analysis and Management
    a schema:CreativeWork, schema:MediaObject, schema:Book ;
    library:oclcnum "857230044" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/ne> ;
    schema:about <http://dewey.info/class/005.74068/e23/> ;
    schema:about <http://id.worldcat.org/fast/887946> ; # Data mining
    schema:about <http://experiment.worldcat.org/entity/work/data/1404760055#Topic/physique> ; # Physique
    schema:about <http://id.worldcat.org/fast/888037> ; # Database management
    schema:about <http://experiment.worldcat.org/entity/work/data/1404760055#Topic/data_mining> ; # Data mining
    schema:about <http://experiment.worldcat.org/entity/work/data/1404760055#Topic/database_management> ; # Database management
    schema:about <http://experiment.worldcat.org/entity/work/data/1404760055#Topic/computers_database_management_data_mining> ; # COMPUTERS--Database Management--Data Mining
    schema:about <http://experiment.worldcat.org/entity/work/data/1404760055#Topic/astronomie> ; # Astronomie
    schema:bookFormat schema:EBook ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/1404760055#Meeting/international_workshop_on_intelligent_data_analysis_and_management_3rd_2013_kaohsiung_taiwan> ; # International Workshop on Intelligent Data Analysis and Management (3rd : 2013 : Kaohsiung, Taiwan)
    schema:datePublished "2013" ;
    schema:description "These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung, Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc."@en ;
    schema:editor <http://viaf.org/viaf/70800031> ; # Lorna Uden
    schema:exampleOfWork <http://worldcat.org/entity/work/id/1404760055> ;
    schema:genre "Conference proceedings"@en ;
    schema:genre "Electronic books"@en ;
    schema:genre "Conference publication"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://worldcat.org/issn/2213-8684> ; # Springer proceedings in complexity,
    schema:name "The 3rd International Workshop on Intelligent Data Analysis and Management"@en ;
    schema:productID "857230044" ;
    schema:url <http://www.myilibrary.com?id=518878> ;
    schema:url <http://site.ebrary.com/id/10743867> ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=624551> ;
    schema:url <http://swb.eblib.com/patron/FullRecord.aspx?p=1399096> ;
    schema:url <http://public.eblib.com/choice/publicfullrecord.aspx?p=1399096> ;
    schema:url <http://dx.doi.org/10.1007/978-94-007-7293-9> ;
    schema:workExample <http://worldcat.org/isbn/9789400772922> ;
    schema:workExample <http://dx.doi.org/10.1007/978-94-007-7293-9> ;
    schema:workExample <http://worldcat.org/isbn/9789400772939> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/857230044> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/1404760055#Meeting/international_workshop_on_intelligent_data_analysis_and_management_3rd_2013_kaohsiung_taiwan> # International Workshop on Intelligent Data Analysis and Management (3rd : 2013 : Kaohsiung, Taiwan)
    a bgn:Meeting, schema:Event ;
    schema:location <http://experiment.worldcat.org/entity/work/data/1404760055#Place/kaohsiung_taiwan> ; # Kaohsiung, Taiwan)
    schema:name "International Workshop on Intelligent Data Analysis and Management (3rd : 2013 : Kaohsiung, Taiwan)" ;
    .

<http://experiment.worldcat.org/entity/work/data/1404760055#Place/kaohsiung_taiwan> # Kaohsiung, Taiwan)
    a schema:Place ;
    schema:name "Kaohsiung, Taiwan)" ;
    .

<http://experiment.worldcat.org/entity/work/data/1404760055#Topic/computers_database_management_data_mining> # COMPUTERS--Database Management--Data Mining
    a schema:Intangible ;
    schema:name "COMPUTERS--Database Management--Data Mining"@en ;
    .

<http://id.worldcat.org/fast/887946> # Data mining
    a schema:Intangible ;
    schema:name "Data mining"@en ;
    .

<http://id.worldcat.org/fast/888037> # Database management
    a schema:Intangible ;
    schema:name "Database management"@en ;
    .

<http://viaf.org/viaf/70800031> # Lorna Uden
    a schema:Person ;
    schema:birthDate "1946" ;
    schema:familyName "Uden" ;
    schema:givenName "Lorna" ;
    schema:name "Lorna Uden" ;
    .

<http://worldcat.org/isbn/9789400772922>
    a schema:ProductModel ;
    schema:isbn "9400772920" ;
    schema:isbn "9789400772922" ;
    .

<http://worldcat.org/isbn/9789400772939>
    a schema:ProductModel ;
    schema:isbn "9400772939" ;
    schema:isbn "9789400772939" ;
    .

<http://worldcat.org/issn/2213-8684> # Springer proceedings in complexity,
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/857230044> ; # The 3rd International Workshop on Intelligent Data Analysis and Management
    schema:issn "2213-8684" ;
    schema:name "Springer proceedings in complexity," ;
    .

<http://www.worldcat.org/title/-/oclc/857230044>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/857230044> ; # The 3rd International Workshop on Intelligent Data Analysis and Management
    schema:dateModified "2015-06-04" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.