It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support threshold in association rule mining. In this pa...

This paper presents a novel pattern called temporal indirect association. An indirect association pattern refers to a pair of items that rarely occur together but highly depend on the presence of a mediator itemset. The existing model of indirect association does not consider the lifespan of items. Consequently, some discovered patterns may be invalid while some useful patterns may not be cover...

From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring knowledge but examination score is one scale which shows the performance indicator of students. So it is important that appropriate material is taught but it is vital that while tea...

摘要 本論文提出一種能擷取長距離資訊的語言模型,它可以擷取多詞彙之間的關 聯性,擷取的方式是使用資料探勘中十分流行的 Apriori 演算法,傳統上 n-gram 語言模型只能在 n-gram 視窗內擷取到有限距離的資訊,較長距離的資訊也就因 此而流失,然而這些失去的長距離資訊對於語言模型是十分重要的,所以如何克 服 n-gram 模型缺乏長距離資訊一直是非常熱門的研究課題,觸發序對就是其中 一種有效的方法,其主要功能是在擷取長距離之詞序對資訊,也就是建立起詞與 詞之間的關聯性,然而我們所提出的關聯法則技術能擷取多元詞組間的關聯性, 可以說是進一步改良詞組數並建立更長距離資訊,而實驗結果也顯示本論文方法 比起傳統觸發序對獲得較低的 perplexity,此關聯法則技術也可以有效的與其他 模型調整及模型平滑化的技術結合,在語言模型的效率改善方面能有更良好的效 果,最後本論文也將提出的語...

Association Rules are a basic concept of data mining. They are, however, not understood as logical objects which can be used for reasoning. The purpose of this paper is to investigate a model based semantic for implications with certain constraints on their support and confidence in relational data, which then resemble association rules, and to present a possibility to decide entailment for them.

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Nowadays, there are a great number of both specific and general data mining tools available to carry out association rule mining. However, it is necessary to use several of these tools in order to obtain only the most interesting and useful rules for a given problem and dataset. To resolve this drawback, this paper describes a fully integrated framework to help in the discovery and evaluation o...

This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward application of association rules algorithms. This representation has several good properties like invariance to global lightness and invariance to rotation. Association rules capture structural and statistical informatio...

In an academic environment, student advising is considered a paramount activity for both advisors and student to improve the academic performance of students. In universities of large numbers of students, advising is a time-consuming activity that may take a considerable effort of advisors and university administration in guiding students to complete their registration successfully and efficien...