Informatics Publishing Limited

Hao-En Chueh ¹, Jie-Yi Jheng ²

Affiliations
1 Department of Information Management, Yuanpei University, Hsinchu City, TW
2 Graduate Institute of Digital Technology Innovation and Management, Yuanpei University, Hsinchu City, TW

Abstract

In the Taiwanese solar power industry, the upstream industry's lack of silicon raw materials and the downstream's underdeveloped systematic manufacturing status have led industrial development to continue concentrating on cell and module research and development manufacturing and production. Taiwan's solar power industry has developed midstream cell manufacturers holding a share of the global market. The research period for this study was between 2010 and 2011. This study constructed a performance evaluation model by using data envelopment analysis for the solar cell industry to assist relevant manufacturers in the Taiwanese solar power industry in formulating operational strategies; guidelines on future development in the industry have been recommended.

Keywords

Data Envelopment Analysis, Performance Evaluation, Solar Cell Industry.

Full Text

   

Hao-En Chueh ¹

Affiliations
1 Department of Information Management, Yuanpei University, Hsinchu City, TW

Abstract

To optimize telecom service management, it is necessary that information about telecom services is highly related to the most popular telecom service. To this end, we propose an algorithm for mining targetoriented fuzzy correlation rules. In this paper, we show that by using the fuzzy statistics analysis and the data mining technology, the target-oriented fuzzy correlation rules can be obtained from a given database. We conduct an experiment by using a sample database from a telecom service provider in Taiwan. Our work can be used to assist the telecom service provider in providing the appropriate services to the customers for better customer relationship management.

Keywords

Telecom Services, Target-Oriented Rules, Fuzzy Correlation Rules, Data Mining, Customer Relationship Management.

Full Text

   

Hao-En Chueh ¹

Affiliations
1 Department of Information Management, Yuanpei University, Hsinchu City, TW

Abstract

A target-oriented sequential pattern is a sequential pattern with a concerned itemset in the end of pattern. A time-interval sequential pattern is a sequential pattern with time-intervals between every pair of successive itemsets. In this paper we present an algorithm to discover target-oriented sequential pattern with time-intervals. To this end, the original sequences are reversed so that the last itemsets can be arranged in front of the sequences. The contrasts between reversed sequences and the concerned itemset are then used to exclude the irrelevant sequences. Clustering analysis is used with typical sequential pattern mining algorithm to extract the sequential patterns with time-intervals between successive itemsets. Finally, the discovered time-interval sequential patterns are reversed again to the original order for searching the target patterns.

Keywords

Data Mining, Target-Oriented Sequential Pattern, Time-Interval, Clustering Analysis.

Full Text