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 23.
x. lappuse
... E - BUSINESS SYSTEM - GOALS AND TASKS ...... .172 6.4.5 . HUMAN - TASK ... E - BUSINESS STRATEGY , E - BUSINESS MODEL AND IT INFRASTRUCTURE ..... 176 6.5 ... BANKING .......... 7.1 . Introduction ...... .193 193 7.2 . Traditional Data ...
... E - BUSINESS SYSTEM - GOALS AND TASKS ...... .172 6.4.5 . HUMAN - TASK ... E - BUSINESS STRATEGY , E - BUSINESS MODEL AND IT INFRASTRUCTURE ..... 176 6.5 ... BANKING .......... 7.1 . Introduction ...... .193 193 7.2 . Traditional Data ...
xiv. lappuse
... banking and finance and cross - functional areas involving customer relationship management and enterprise resource planning . It is relevant to practitioners and researchers in information technology areas like e - business and e ...
... banking and finance and cross - functional areas involving customer relationship management and enterprise resource planning . It is relevant to practitioners and researchers in information technology areas like e - business and e ...
xv. lappuse
... e- business system development framework and a Human - Centered Virtual Machine ( HCVM ) . Part II : describes applications of HCVM in areas like e - recruitment , customer relationship management and e - banking or Internet banking , e ...
... e- business system development framework and a Human - Centered Virtual Machine ( HCVM ) . Part II : describes applications of HCVM in areas like e - recruitment , customer relationship management and e - banking or Internet banking , e ...
xvi. lappuse
... e - business , intelligent systems , software engineering , multimedia data ... e - business system development in philosophy , cognitive science , psychology ... banking . It employs data mining techniques for profiling the transaction ...
... e - business , intelligent systems , software engineering , multimedia data ... e - business system development in philosophy , cognitive science , psychology ... banking . It employs data mining techniques for profiling the transaction ...
10. lappuse
... e - business framework and architecture at the knowledge level are described in chapter 4 and 5 respectively . E - Business decision support applications in e - sales recruitment , e - banking and multimedia ( identifying clothing of ...
... e - business framework and architecture at the knowledge level are described in chapter 4 and 5 respectively . E - Business decision support applications in e - sales recruitment , e - banking and multimedia ( identifying clothing of ...
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