Titlebook: Advances in Data Mining. Applications and Theoretical Aspects; 18th Industrial Conf Petra Perner Conference proceedings 2018 Springer Inter

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Current State of Accommodation Research, markets. We present a new Intelligent Hybrid Weighted Fuzzy (IHWF) time series model to improve forecasting accuracy in financial markets, which are complex nonlinear time-sensitive systems, influenced by many factors. The IHWF model uniquely combines Empirical Mode Decomposition (EMD) with a novel

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Martin Baumeister,Thomas Kohnenmore attention from the natural language processing (NLP) community. Related literature has shown that sentiment analysis can benefit from Deep Belief Networks (DBN). However, determining the structure of the deep network and improving its performance still remains an open question. In this paper, w

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Cataract and Refractive Surgerybaseball players and to make decision on team reinforcement strategy. We used data of pitchers in the Japanese professional baseball teams. First, we collected data of 302 pitchers and clustered these pitchers using the following fourteen features: number of games pitched, number of wins, number of

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百灵鸟

生气的边缘

https://doi.org/10.1007/978-1-4419-9268-0ultiple remote autonomous sensing systems; each generates a classification scheme comprising a plurality of parameters. The classification engine of each sensing system is based on small data buffers, which include a limited set of “representative” cases for each class (case-buffers). Upon receiving

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Topics in Regulatory Economics and Policye users based on their preferences. By representing the users and the published data in a metric space, each user can be recommended with their . nearest neighbors among the published data, i.e., the kNN join is computed. In this work, we aim at a frequent requirement that only the recently publishe

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https://doi.org/10.1007/b100669atics, texts mining etc. Many researchers have proposed various approaches for mining hierarchical patterns. However, some of the existing approaches generate many multilevel and cross-level frequent patterns that fail to fetch quality information. It is extremely difficult to extract any meaningful

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