Decision tree technology has been proven to be a valuable way of capturing human decision making within a computer. One main problem for many traditional decision tree pruning methods is that it is always assumed that all misclassifications are equally probable and equally serious. However, in a real-world classification problem, there may be a cost associated with misclassifying examples from ...

We propose an extension of an entropy-based heuristic of Quinlan [Q93] for constructing a decision tree from a large database with many numeric attributes. Quinlan pointed out that his original method (as well as other existing methods) may be ine cient if any numeric attributes are strongly correlated. Our approach o ers one solution to this problem. For each pair of numeric attributes with st...

392 Abstract— All bank marketing campaigns are dependent on customers’ huge electronic data. The size of these data source is impossible for a human analyst to come up with interesting information that will help in the decision-making process. Data mining models are completely helping in performance of these campaigns. This paper introduces applications of recent and important models of data mi...

This paper highlights the significance of classification in data mining and knowledge discovery. In this paper we investigate the performance of various data mining classification algorithms viz. Rnd Tree, Quinlan decision tree algorithm (C4.5), KNearest Neighbor algorithm etc., on a large dataset from the „Wisconsin Breast tissue dataset‟ (derived from the UCI Machine Learning Repository) that...

The superfamilies Cephoidea, Orussoidea, Pamphilioidea, Siricoidea, Tenthredinoidea, Xiphydrioidea and Xyeloidea are combined as one checklist section, as the sawflies represent a distinctive assemblage of phytophagous (except Orussidae) Hymenoptera. More than fifty years have passed since the publication of the final part of Robert B. Benson’s three part identification key to the “Symphyta” of...

Botnet threat has increased enormously with adoption of newer technologies like root kit, anti-antivirus modules etc. by the hackers. Emergence of botnets having distributed C & C structure that mimic P2P technologically, has made its detection and dismantling extremely difficult. However, numeric flow feature values of P2P botnet C & C traffic can be used to generate fuzzy rule-set which can t...

Bibliography [1] A. Belloum, M. Inda, D. Vasunin, V. Korkhov, Z. Zhao, H. Rauwerda, T. Breit, M. Bubak, L. Hertzberger, Collaborative e-science experiments and scientific workflows, Internet Computing, IEEE 15 (2011) 39–47. [2] C. Olston, B. Reed, U. Srivastava, R. Kumar, A. Tomkins, Pig Latin: a not-so-foreign language for data processing, in: Proceedings of the 2008 ACM SIGMOD International C...

Prior analyses of the National Institute of Mental Health Treatment of Depression Collaborative Research Program demonstrated that perfectionism was negatively related to outcome, whereas both the patient's perception of the quality of the therapeutic relationship and the patient contribution to the therapeutic alliance were positively related to outcome across treatment conditions (S. J. Blatt...

This paper is concerned with FS-FOIL—an extension of Quinlan’s First-Order Inductive Learning Method (FOIL). In contrast to the classical FOIL algorithm, FS-FOIL uses fuzzy predicates and, thereby, allows to deal not only with categorical variables, but also with numerical ones, without the need to draw sharp boundaries. This method is described in full detail along with discussions how it can ...

Recent experiments using massive search suggest that additional search can reduce accuracy. Quinlan and Cameron-Jones [ 1995 ] have argued that the oversearching problem is a natural consequence of large scale search and that it can only be avoided by searching fewer rules. This paper presents an alternative explanation, the oversearching e ect is caused by over tting and by a poor match betwee...