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There are two main contributions in the thesis . Firstly, we design a novel and efficient algorithm for mining calendar-based association rules which have multilevel time granularities in temporal databases. Unlike apriori-like approaches , our method scans the database twice at most. By avoiding multiple scans over the database , our method can reduce the database scanning time. Secondly, we use membership functions to construct fuzzy calendar patterns which represent asynchronous periods. With the use of fuzzy calendar patterns, we can discover fuzzy periodical association rules which are association rules occurring in asynchronous periods. Experimental results have shown that our method is more efficient than others, and we can find fuzzy periodical association rules satisfactorily.

This thesis intends to explore the relationship between teachers¡¦understanding of the missions and roles of the Teachers¡¦Association and their degree of participation in Kaohsiung County. It aims to: (1) analyze the teachers¡¦ understanding of the missions of the Teachers¡¦ Association.(2) analyze teachers¡¦ understanding of the role of the Teachers¡¦ Association .(3) explore the relationships between teachers¡¦ understanding of the missions of the Teachers¡¦ Association and their degrees of participation .(4) explore the relationship between teachers¡¦ understanding of the role of the Teachers¡¦Association and their degrees of participation. ¡@ To fulfill these purposes, two strategies are employed: issuing questionnaires and holding interviews.The first step is to collect the effective specimen of 472 teachers came from different schools and one-way analysis of variance was used to analyze the difference that teachers with different background work on the teacher Association. At the same time, I analyze the Teachers¡¦understandings on the missions of the Teacher Association and roles were further analyzed by multiple regression analysis. From the different understanding, we can forcast the degree of the Participation in Association. The second step is according to obvious survey results from the first step, to design a five half-structured interview survey. I will interview the teachers with various backgrounds. ¡@¡@The results show: first, teachers have very good understanding of the missions and roles of the Teachers¡¦ Association; second, teachers¡¦ degree of participation depends on the content of the activities; third, the perception of retaining the teachers¡¦ dignity and promoting their profession varies between different sexes; fourth, teachers with administrative positions or not also differ in their perception in striving for teachers¡¦ rights and influencing educational policies; fifth, a teacher¡¦s seniority affects his perception in striving for teachers¡¦ rights and influencing educational policies; sixth, the location of schools affects teachers¡¦ perception in influencing educational policies; seventh, different sexes also vary in their perception in legal, professional, and supervising organizations; eighth, a teacher¡¦s perception in a professional organization is associated with the scale of a school serving; ninth, the perception in autonomous and supervising organizations differs between teachers with administrative positions and teachers without¡Ftenth, a teacher¡¦s perception in autonomous organizations is related with his seniority¡Feleventh, a teacher¡¦s perception in autonomous organizations have something to do with the location of the school¡Ftwelfth¡Athe degree of a teacher¡¦s participation in the teachers¡¦organization can be best shown by their understanding of the services the Teachers¡¦ Association provides. According the above analysis outcome, I bring up five suggestions for a Teacher Association are given.

Abstract With the phenomenal growth of electronic data and information, there are many demands for the development of efficient and effective systems (tools) to perform the issue of data mining tasks on multidimensional databases. Association rules describe associations between items in the same transactions (intra) or in different transactions (inter). Association mining attempts to find interesting or useful association rules in databases: this is the crucial issue for the application of data mining in the real world. Association mining can be used in many application areas, such as the discovery of associations between customers’ locations and shopping behaviours in market basket analysis. Association mining includes two phases. The first phase, called pattern mining, is the discovery of frequent patterns. The second phase, called rule generation, is the discovery of interesting and useful association rules in the discovered patterns. The first phase, however, often takes a long time to find all frequent patterns; these also include much noise. The second phase is also a time consuming activity that can generate many redundant rules. To improve the quality of association mining in databases, this thesis provides an alternative technique, granule-based association mining, for knowledge discovery in databases, where a granule refers to a predicate that describes common features of a group of transactions. The new technique first transfers transaction databases into basic decision tables, then uses multi-tier structures to integrate pattern mining and rule generation in one phase for both intra and inter transaction association rule mining. To evaluate the proposed new technique, this research defines the concept of meaningless rules by considering the co-relations between data-dimensions for intratransaction-association rule mining. It also uses precision to evaluate the effectiveness of intertransaction association rules. The experimental results show that the proposed technique is promising.

Treatise (Ed. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2002. / Includes bibliographical references (leaves 39-40).