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 36.
ix. lappuse
... HCVM 158 5.7.1 . ARCHITECTURAL CHARACTERISTICS . 159 5.7.1.1 Human - Centeredness .......... 5.7.1.2 Task Orientation vs Technology Orientation :. 159 159 5.7.1.3 Flexibility : ........ 5.7.1.4 Versatility : .... 5.7.1.5 Forms of ...
... HCVM 158 5.7.1 . ARCHITECTURAL CHARACTERISTICS . 159 5.7.1.1 Human - Centeredness .......... 5.7.1.2 Task Orientation vs Technology Orientation :. 159 159 5.7.1.3 Flexibility : ........ 5.7.1.4 Versatility : .... 5.7.1.5 Forms of ...
xi. lappuse
... HCVM BASED CONTEXT - DEPENDENT DATA ORGANIZATION FOR e - COMMERCE ........... 203 204 206 207 210 211 .... 212 214 214 214 215 ......... 219 8.1 Introduction 219 8.2 Context - dependent Data Management .... 221 8.2.1 . CONTEXT ...
... HCVM BASED CONTEXT - DEPENDENT DATA ORGANIZATION FOR e - COMMERCE ........... 203 204 206 207 210 211 .... 212 214 214 214 215 ......... 219 8.1 Introduction 219 8.2 Context - dependent Data Management .... 221 8.2.1 . CONTEXT ...
xii. lappuse
... HCVM and Technological Architecture of the Knowledge Hub ....... 251 9.7 . Knowledge Hub's Content Management System ......... 252 9.7.1 . SPIDER AND VALIDATOR AGENTS .253 9.7.2 . INDEXING AGENT .............. .253 9.8 . Decision ...
... HCVM and Technological Architecture of the Knowledge Hub ....... 251 9.7 . Knowledge Hub's Content Management System ......... 252 9.7.1 . SPIDER AND VALIDATOR AGENTS .253 9.7.2 . INDEXING AGENT .............. .253 9.8 . Decision ...
xv. lappuse
... ( HCVM ) . Part II : describes applications of HCVM in areas like e - recruitment , customer relationship management and e - banking or Internet banking , e - commerce and knowledge management . Part III : introduces the area of ...
... ( HCVM ) . Part II : describes applications of HCVM in areas like e - recruitment , customer relationship management and e - banking or Internet banking , e - commerce and knowledge management . Part III : introduces the area of ...
xvi. lappuse
... ( HCVM ) is realized through integration of activity- centered e - business analysis component , problem solving ontology component and the multimedia interpretation component with technology based models like , intelligent technology ...
... ( HCVM ) is realized through integration of activity- centered e - business analysis component , problem solving ontology component and the multimedia interpretation component with technology based models like , intelligent technology ...
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