Titlebook: Data Warehousing and Knowledge Discovery; 16th International C Ladjel Bellatreche,Mukesh K. Mohania Conference proceedings 2014 The Editor(

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Silvia Melitta Mueller,Wolfgang J. Paulnal data warehouse may not suffice, and external data sources, like the web, can provide useful multidimensional information. Also, large repositories of semantically annotated data are becoming available on the web, opening new opportunities for enhancing current decision-support systems. Represent

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Sangeeta Chakrabarty,Ramprasad S. Joshi tools. They contain time-related information and thus representing and reasoning on temporal data is important both to guarantee the efficacy and the quality of decision-making processes, and to detect any emergency situation as soon as possible. Several proposals deal with temporal data models and

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Kamal Deep FRCS, MCh Orth, FRCS Orthiations. Most previous methods are generally based on transaction-free apriori-like algorithms which are dependent on user-defined thresholds and are designed for boolean data points. Due to the absence of a clear notion of transactions, it is nontrivial to use association rule mining techniques to

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https://doi.org/10.1007/978-981-10-5245-3 of users (e.g., likes/dislikes, comments, ratings). Existing web opinion mining systems such as OpinionMiner is based on opinion text similarity scoring of users’ review texts and product ratings to generate database table of features, functions and opinions mined through classification to identify

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Computer Assisted Orthopedic Surgerys return the best compromises associated with these dimensions. Many studies have focused on the extraction of skyline points in the context of multidimensional databases, but, to the best of our knowledge, none of them have investigated skyline queries, when data are structured along multiple and h