Titlebook: Database Systems for Advanced Applications; DASFAA 2018 Internat Chengfei Liu,Lei Zou,Jianxin Li Conference proceedings 2018 Springer Inter

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263397.jpg

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https://doi.org/10.1007/978-3-662-55612-2 for databases. Extensive experiments are designed to conduct both performance testing and analyzing under different schemas. The experimental results show that a reasonable configuration can contribute a good database performance, which provides factual basis for optimizing highly concurrent applic

angina-pectoris

Andranik S. Tangian,Josef GruberIs directly. In this paper, we propose a collaborative inferring framework to analyze the actually visited POI categories from users’ historical trajectory data. Through modeling relationships among the user, time and POI category, the tensor decomposition method can effectively complement the missi

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Bombast

Tensor Factorization Based POI Category InferenceIs directly. In this paper, we propose a collaborative inferring framework to analyze the actually visited POI categories from users’ historical trajectory data. Through modeling relationships among the user, time and POI category, the tensor decomposition method can effectively complement the missi

coalition

門(mén)窗的側(cè)柱

Developing Knowledge-Based Systems Using Data Mining Techniques for Advising Secondary School Studens preprocessed for missing values, outliers, noisy and errors. Then the model is experimented using decision tree (j48) and rule induction (PART) algorithms. In this study as compared to j48, the PART unpruned decision list algorithm has 98.003% predictive performance. Thus, the knowledge discovered