Taimur Qureshi

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—Many supervised induction algorithms require discrete data, even while real data often comes in a discrete and continuous formats. Quality discretization of continuous attributes is an important problem that has effects on speed, accuracy and understandability of the induction models. Usually, discretization and other types of statistical processes are(More)
A B S T R A C T Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from(More)
Provide the following information for the key personnel in the order listed for Form Page 2. EDUCATIOM/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, and include postdoctoral training.) NOTE: The Biographical Sketch may not exceed four pages. Items A and B may not exceed two of the four-page limit. A. Positions(More)
Les arbres de décision sont largement utilisés pour générer des classi-ficateurs à partir d'un ensemble de données. Le processus de construction est une partitionnement récursif de l'ensemble d'apprentissage. Dans ce contexte, les at-tributs continus son discrétisés. Il s'agit alors, pour chaque variable à discrétiser de trouver l'ensemble des points de(More)
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