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 75.
vi. lappuse
... Representation .30 2.6.1.2 . Rule Based Architecture ..... .33 2.6.1.3 . Rule and Frame ( Object ) Based Architecture ..34 2.6.1.4 . Model Based Architecture ... ..34 2.6.1.5 . Blackboard Architecture .35 2.6.1.6 . Some Limitations of ...
... Representation .30 2.6.1.2 . Rule Based Architecture ..... .33 2.6.1.3 . Rule and Frame ( Object ) Based Architecture ..34 2.6.1.4 . Model Based Architecture ... ..34 2.6.1.5 . Blackboard Architecture .35 2.6.1.6 . Some Limitations of ...
xi. lappuse
... REPRESENTATION IN E - COMMERCE TRANSACTIONS 8.2.2 HUMAN - CENTERED CONTEXT MODELING ...... 222 222 8.3 Context Modeling in XML ....... 225 8.3.1 USING THE SIMPLE OBJECT ACCESS PROTOCOL ( SOAP ) FOR CONTEXT INITIALIZATION ... ... 229 8.3 ...
... REPRESENTATION IN E - COMMERCE TRANSACTIONS 8.2.2 HUMAN - CENTERED CONTEXT MODELING ...... 222 222 8.3 Context Modeling in XML ....... 225 8.3.1 USING THE SIMPLE OBJECT ACCESS PROTOCOL ( SOAP ) FOR CONTEXT INITIALIZATION ... ... 229 8.3 ...
xii. lappuse
... Representation ..248 9.4 . The Regional Innovation Leadership ( RIL ) Cycle ... ..249 9.5 . Knowledge Hub for RIL ..... .249 9.5.1 . KNOWLEDGE HUB'S ACTORS ....... ..250 9.5.2 . CLUSTER OF SERVICES ..251 9.6 . HCVM and Technological ...
... Representation ..248 9.4 . The Regional Innovation Leadership ( RIL ) Cycle ... ..249 9.5 . Knowledge Hub for RIL ..... .249 9.5.1 . KNOWLEDGE HUB'S ACTORS ....... ..250 9.5.2 . CLUSTER OF SERVICES ..251 9.6 . HCVM and Technological ...
3. lappuse
... design , product . 1.3 Converging Trends Towards Human - Centeredness As can be. Figure 1.2 : Primary and Secondary Business Activities Figure 1.8 : Two Representations of Tic - Tac -. Why Human - Centered e - Business ? 3.
... design , product . 1.3 Converging Trends Towards Human - Centeredness As can be. Figure 1.2 : Primary and Secondary Business Activities Figure 1.8 : Two Representations of Tic - Tac -. Why Human - Centered e - Business ? 3.
9. lappuse
... representations . Software systems based only on internal representations or models of a problem domain are likely to put a higher cognitive load on their users as against systems that are based on external or perceptual representations ...
... representations . Software systems based only on internal representations or models of a problem domain are likely to put a higher cognitive load on their users as against systems that are based on external or perceptual representations ...
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