By Yanglv Ling
CSIA 2014 focusses on advancements in laptop technology in business software. The contributions are grouped into 5 major sections:
1. machine and data Technology.
2. enterprise administration, E-commerce and Tourism. This part covers frequently simple thought and normal approach to fiscal administration companies and marketplace economy.
3. schooling, Psychology and Multimedia. This section makes use of numerous theories and strategies via designing, constructing, using, coping with and comparing the methods of educating and studying and similar assets, to accomplish the speculation and perform of educating optimization.
4. Humanities, Politics, and Philosophy. This section regularly researches the complex values and norms, and diverse cultural phenomena of human society, together with architectural tradition, literature, or schooling and tradition, politics, and philosophy.
Read Online or Download Computer science in industrial application : proceedings of the 2014 Pacific-Asia Workshop on Computer Science in Industrial Application, November 17-18, 2014, Bangkok, Thailand PDF
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Additional resources for Computer science in industrial application : proceedings of the 2014 Pacific-Asia Workshop on Computer Science in Industrial Application, November 17-18, 2014, Bangkok, Thailand
Realization of frequency modulation to synchronize with the frequency of a broadcast coherent zone is that in the identical single transmitter close to the transmitter side of the technical characteristics. The problem required to solve for coherent regions is two or more field transmitter coverage overlap region issue. FM receiver has the “capture effect” which making FM simulcast reception becomes simple. This effect is that when two of the same or similar frequency RF signals into the receiver, I heard that the field strength stronger radio program.
Or Inproducts view of to existing customers, view of existing customers, enterprises can use data can use data mining to the existing customer mining to thecustomer existing analysis customerofinformation, cusinformation, their features, tomer analysis of theirmarket. features, predicting the future predicting the future market. To help the enterprise to retain old customers. To help the enterprise Recognized in the industry to is, retain the costold of customers. 8 times the to keep an oldneeds customer cost.
1 Method defining distance criterion of of convergence. Figure 1. The process of data mining At present, present, data data mining At mining has has been been widely widelyused usedinin the CRM, CRM,it can it can the problem: database the solvesolve the problem: database marketmarketing, groups, selling, ing, customer customer groups, cross selling, cross customer churn customeretc. of Thedata functions analysis Theanalysis functions miningofindata the mining in the application the CRM are mainly application of the CRM areof mainly manifested in the manifestedaspects: in the following aspects: following To help the company to acquire new customers.