Persistent Link:
http://hdl.handle.net/10150/106101
Title:
Special issue: "Web retrieval and mining"
Author:
Chen, Hsinchun
Citation:
Special issue: "Web retrieval and mining" 2003-04, 35(1):1-5 Decision Support Systems
Publisher:
Elsevier
Journal:
Decision Support Systems
Issue Date:
Apr-2003
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106101
Submitted date:
2004-08-16
Abstract:
Search engines and data mining are two research areas that have experienced significant progress over the past few years. Overwhelming acceptance of the Internet as a primary medium for content delivery and business transactions has created unique opportunities and challenges for researchers. The richness of the webâ s multimedia content, the reach and timeliness of web-based publication, the proliferation of e-commerce activities and the potential for wireless web delivery have generated many interesting research problems. Technical, system, organizational and social research approaches are all needed to address these research problems. Many interesting webretrieval and mining research topics have emerged recently. These include, but are not limited to, the following: text and data mining on the web, web visualization, web intelligence and agents, web-based decision support and knowledge management, wireless web retrieval and visualization, web-based usability methodology, web-based analysis for eCommerce applications. This special issue consists of nine papers that report research in web retrieval and mining.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Web Mining; World Wide Web
Local subject classification:
National Science Digital Library; NDSL; Artificial intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:39:46Z-
dc.date.issued2003-04en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationSpecial issue: "Web retrieval and mining" 2003-04, 35(1):1-5 Decision Support Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/106101-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractSearch engines and data mining are two research areas that have experienced significant progress over the past few years. Overwhelming acceptance of the Internet as a primary medium for content delivery and business transactions has created unique opportunities and challenges for researchers. The richness of the webâ s multimedia content, the reach and timeliness of web-based publication, the proliferation of e-commerce activities and the potential for wireless web delivery have generated many interesting research problems. Technical, system, organizational and social research approaches are all needed to address these research problems. Many interesting webretrieval and mining research topics have emerged recently. These include, but are not limited to, the following: text and data mining on the web, web visualization, web intelligence and agents, web-based decision support and knowledge management, wireless web retrieval and visualization, web-based usability methodology, web-based analysis for eCommerce applications. This special issue consists of nine papers that report research in web retrieval and mining.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectWeb Miningen_US
dc.subjectWorld Wide Weben_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNDSLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.titleSpecial issue: "Web retrieval and mining"en_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalDecision Support Systemsen_US
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