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
6.–10. rezultāts no 53.
4. lappuse
... areas . For example , in e - business there has been a move towards user - centered market models from product - centered market models . Information technology is being used for customizing product and services and for achieving high ...
... areas . For example , in e - business there has been a move towards user - centered market models from product - centered market models . Information technology is being used for customizing product and services and for achieving high ...
9. lappuse
... area , a sales ( or customer service ) manager while recruiting new salespersons ( customer service representatives ) is faced with an exceptional situation of determining a benchmark for recruiting the new salespersons ( customer ...
... area , a sales ( or customer service ) manager while recruiting new salespersons ( customer service representatives ) is faced with an exceptional situation of determining a benchmark for recruiting the new salespersons ( customer ...
11. lappuse
... areas including e- business , intelligent systems , software engineering , multimedia , data mining , enterprise modeling and human- computer interaction . These trends have evolved not only because of social and psychological impact of ...
... areas including e- business , intelligent systems , software engineering , multimedia , data mining , enterprise modeling and human- computer interaction . These trends have evolved not only because of social and psychological impact of ...
14. lappuse
... areas of sales , direct marketing fulfillment and customer service support . Advantages of such systems for example allow a business to mine customer buying behavior patterns and to identify such things as its best customers and those ...
... areas of sales , direct marketing fulfillment and customer service support . Advantages of such systems for example allow a business to mine customer buying behavior patterns and to identify such things as its best customers and those ...
15. lappuse
... area in e - business . They exploit two types of organisational knowledge , namely , explicit knowledge ( data , documents , procedures , reports and information stored in the computers ) and tacit knowledge ( organisational know - how ...
... area in e - business . They exploit two types of organisational knowledge , namely , explicit knowledge ( data , documents , procedures , reports and information stored in the computers ) and tacit knowledge ( organisational know - how ...
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