Foundations of Intelligent Systems: Proceedings of the Sixth by Zhixin Ma, Zhe Ding, Yusheng Xu (auth.), Yinglin Wang,

By Zhixin Ma, Zhe Ding, Yusheng Xu (auth.), Yinglin Wang, Tianrui Li (eds.)

Proceedings of the 6th foreign convention on clever method and information Engineering provides chosen papers from the convention ISKE 2011, held December 15-17 in Shanghai, China. This lawsuits doesn’t simply study unique learn and techniques within the extensive components of clever platforms and data engineering, but additionally current new methodologies and practices in clever computing paradigms. The e-book introduces the present medical and technical advances within the fields of synthetic intelligence, laptop studying, trend reputation, info mining, details retrieval, knowledge-based platforms, wisdom illustration and reasoning, multi-agent structures, natural-language processing, and so on. in addition, new computing methodologies are awarded, together with cloud computing, carrier computing and pervasive computing with conventional clever equipment.
The lawsuits can be worthy for either researchers and practitioners who are looking to make the most of clever equipment of their particular examine fields.
Dr. Yinglin Wang is a professor on the division of machine technology and Engineering, Shanghai Jiao Tong college, China; Dr. Tianrui Li is a professor on the institution of data technological know-how and expertise, Southwest Jiaotong college, China.

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Extra info for Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)

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Each data is represented as a d-dimensional feature vector. , xid ) , xij 1≤j≤d ( ) represents value of j-th feature of Xi. Each feature can be numeric, categorical, etc. Pool-Based Active Learning with Query Construction 15 The distance between two data is defined in Eq. (1) and the smaller the distance the more similar. d dist (i, j ) = δ f =1 (f) (f) ij ij d . d δ f =1 (1) (f) ij In Eq. (1), if xif or xjf is missing, or xif=xjf=0 and feature is asymmetric binary variables, δ ij( f ) = 0 , otherwise δ ij( f ) = 1 .

20% The Research of Soft Measurement Method 25 3 Soft Sensor Modeling Based on Fuzzy Reasoning , Fuzzy logic thinking characteristics are imitating the human brain which is an effective way to dealing with complex system, also got used in process soft measurement. Based on fuzzy mathematics model of the soft measurement is a kind of knowledge model. This kind of soft measurement method is especially suitable for complex industry process that the tested object presents uncertainty or it is difficult to use conventional mathematics quantitative description.

Fig. 2. Performance comparision: varying min_sup A set of experiments were performed for studying the performance of the CIPMPBE by compare it with CLPER. 2, the performance is effectively improved in all cases. The CLIPER must be construct a great number of projection databases and scan the projection database repeatedly. So time efficiency of our algorithm is better than CLIPER. 12 Z. Ma, Z. Ding, and Y. Xu 6 Conclusions In this paper, we have proposed a novel algorithm called CIPMPBE for mining closed iterative pattern.

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