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Preference mining

Xem 1-10 trên 10 kết quả Preference mining
  • User preference is very important in orienting data miner, and this is the reason why these user preferences are integrated in the mining process, where they are coupled with Association Rules Mining “ARM” Algorithms to select only Association Rules “ARs” that satisfy the user’s wishes and expectations.

    pdf11p vithanos2711 09-08-2019 4 0   Download

  • The choice of a particular combination of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner.

    pdf6p byphasse043256 21-03-2019 2 0   Download

  • Glutamine is an essential amino acid for enterocytes, especially in states of critical illness and injury. In several studies it has been speculated that the beneficial effects of glutamine are dependent on the route of supply (lumi-nal or systemic). The aim of this study was to investigate the relevance of both routes of glutamine delivery toin vitro intestinal cells and to explore the molecular basis for proposed beneficial glutamine effects: (a) by deter-mining the relative uptake of radiolabelled glutamine in Caco-2 cells;...

    pdf15p fptmusic 11-04-2013 15 1   Download

  • The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. In recent years many successful machine learning applications have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to information-filtering systems that learn users' reading preferences, to autonomous vehicles that learn to drive on public highways. At the same time, there have been important advances in the theory and algorithms that form the foundations of this field....

    pdf421p trinh02 23-01-2013 101 45   Download

  • In recent years many successful machine learning applications have been developed, ranging from data mining programs that learn to detect fraudulent credit card transactions, to information filtering systems that learn user’s reading preferences, to autonomous vehicles that learn to drive on public highways. At the same time, machine learning techniques such as rule induction, neural networks, genetic learning, case-based reasoning, and analytic learning have been widely applied to real-world problems.

    pdf288p bi_bi1 11-07-2012 85 31   Download

  • Permanganate may be applied to sites as either potassium permanganate (KMnO4) or sodium permanganate (NaMnO4). Where cost dominates over engineering factors at a site, potassium permanganate is the preferred chemical form because it is more widely available, less costly, and is available in solid form, which facilitates transport and handling. Where other factors are more important, the liquid form of sodium permangante is preferable.

    pdf52p cao_can 29-12-2012 64 21   Download

  • The NMR structure of 2¢,5¢ d(GGGGCCCC) was deter-mined togain insights into the structural differences between 2¢,5¢-and 3¢,5¢-linked DNA duplexes that may be relevant in elucidating nature’s choice of sugar-phosphate links to encode genetic information. The oligomer assumes a duplex with extended nucleotide repeats formed out of mostly N-type sugar puckers. With the exception of the 5¢-terminal guanine that assumes thesyn glycosyl conformation, all other bases prefer theantiglycosyl conformation. Base pairs in the duplex exhibit slide ()1.

    pdf11p awards 05-04-2013 18 3   Download

  • In studies from the first of these fields, guided by objectives of an applied nature, it is the users that deter- mine the aesthetic value and/or quality of the landscape; however, this is conceptualized as an external and inva- riant source of stimulation to which individuals respond in a uniform way.

    pdf21p giamdocamnhac 06-04-2013 46 2   Download

  • In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal views consist of those sentences which directly express speaker’s feeling and preference towards a target object while impersonal views focus on statements towards a target object for evaluation. To obtain them, an unsupervised mining approach is proposed.

    pdf10p hongdo_1 12-04-2013 30 1   Download

  • To understand this in a given context, we propose Sternberg-Wagner test analysis and data mining as class tool to identify student behavior patterns and its influence on selected variables (scores, gender, choice of small group for class tasks). As the study shows, significant differences have been detected between sexes as to the form they prefer to do a task, and the way they conceive it. Knowing this can help to better class planning, insofar identifies strengths and weaknesses that otherwise might not have been detected.

    pdf10p nguyentunanh2502 27-04-2019 4 0   Download

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