Human-Centered e-BusinessSpringer Science & Business Media, 2012. gada 6. dec. - 315 lappuses Human-Centered e-Business focuses on analysis, design and development of human-centered e-business systems. The authors illustrate the benefits of the human-centered approach in intelligent e-sales recruitment application, integrating data mining technology with decision support model for profiling transaction behavior of internet banking customers, user-centered context dependent data organization using XML, knowledge management, and optimizing the search process through human evaluation in an intelligent interactive multimedia application. The applications described in this work, facilitates both e-business analysis from a business professional's perspective, and human-centered system design from a system development perspective. These applications employ a range of internet and soft computing technologies. |
No grāmatas satura
1.–5. rezultāts no 33.
iv. lappuse
... retrieval system , or transmitted in any form or by any means , electronic , mechanical , photocopying , microfilming , recording , or otherwise , without prior written permission from the Publisher , with the exception of any material ...
... retrieval system , or transmitted in any form or by any means , electronic , mechanical , photocopying , microfilming , recording , or otherwise , without prior written permission from the Publisher , with the exception of any material ...
xii. lappuse
... Retrieval Indexing .... ..... 265 10.5.1 . INTELLIGENT BROWSING ..... ..265 ........... 10.5.2 . IMAGE AND SEMCON MATCHING ..268 10.5.3 . GENERIC IMAGE MODEL .... 271 10.5.4 . SHAPE MATCHING ......... 10.5.5 . COLOR MATCHING ...
... Retrieval Indexing .... ..... 265 10.5.1 . INTELLIGENT BROWSING ..... ..265 ........... 10.5.2 . IMAGE AND SEMCON MATCHING ..268 10.5.3 . GENERIC IMAGE MODEL .... 271 10.5.4 . SHAPE MATCHING ......... 10.5.5 . COLOR MATCHING ...
xvii. lappuse
... retrieval . The chapter outlines the need for bridging the semantic gap between the user and low level description of multimedia artifacts for multimedia applications . It covers several ways of modeling user semantics including ...
... retrieval . The chapter outlines the need for bridging the semantic gap between the user and low level description of multimedia artifacts for multimedia applications . It covers several ways of modeling user semantics including ...
4. lappuse
... retrieval the researchers are looking at ways to incorporate user - based semantics into the search process because of the interactive nature of the multimedia domain . Finally , in order to impart meaningfulness to mined patterns 4 ...
... retrieval the researchers are looking at ways to incorporate user - based semantics into the search process because of the interactive nature of the multimedia domain . Finally , in order to impart meaningfulness to mined patterns 4 ...
15. lappuse
... retrieval , decision making and reasoning in E - business applications . Unlike conventional database application multimedia systems involve a browsing component . Additionally , one needs to define ontologies based on user - centered ...
... retrieval , decision making and reasoning in E - business applications . Unlike conventional database application multimedia systems involve a browsing component . Additionally , one needs to define ontologies based on user - centered ...
Saturs
12 | |
8 | 56 |
2 | 64 |
4 | 92 |
HUMANCENTERED eBUSINESS SYSTEM | 103 |
References | 121 |
3 | 141 |
7 | 158 |
References | 215 |
HUMANCENTERED KNOWLEDGE MANAGEMENT 245 | 244 |
4 | 249 |
9 | 258 |
5 | 265 |
6 | 278 |
HUMANCENTERED INTELLIGENT WEB BASED | 286 |
Relevance Feedback Results | 306 |
Citi izdevumi - Skatīt visu
Human-Centered e-Business Rajiv Khosla,Ernesto Damiani,William Grosky Ierobežota priekšskatīšana - 2003 |
Human-Centered e-Business Rajiv Khosla,Ernesto Damiani,William Grosky Priekšskatījums nav pieejams - 2012 |
Bieži izmantoti vārdi un frāzes
agent layer application approach architecture Artificial Intelligence artificial neural networks behavior category behavior profiling chapter clustering cognitive science color computer-based artifact context context analysis data mining database decision level decision support defined determine distributed cognition domain models e-banking e-business e-business analysis e-business system Electronic Commerce environment example expert systems external feature points framework function fuzzy genetic algorithms goals HCVM histogram human human-centeredness image object indexing input interaction interface internal Internet involves Khosla Knowledge Engineering knowledge management knowledge representation media expression metadata methodology multimedia neural networks object-oriented output perceptual phase adapter Postcondition problem solving ontology psychological scales query recruitment manager relevance feedback representation representing dimensions retrieval sales candidate sales recruitment activity Schema selling behavior semcon shape shown in Figure situated cognition solving ontology component stakeholder structure symbolic system development Task Constraints techniques technologies transaction transformation types XML Schema XPath