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Titlebook: Computational Collective Intelligence. Technologies and Applications; 4th International Co Ngoc-Thanh Nguyen,Kiem Hoang,Piotr Jȩdrzejowicz

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楼主: audiogram
发表于 2025-3-30 08:41:45 | 显示全部楼层
Information Extraction from Geographical Overview Mapstions corresponding to the extracted text labels using the GeoNames ontology. The method consists of three phases. The first one performs map image processing in order to recognize text labels. The next phase verifies these labels and marks them as being sure or unsure locations. In the third phase
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A Tree-Based Approach for Mining Frequent Weighted Utility Itemsetseighted Itemset Tidset) tree data structure for mining high utility itemsets in the work of Le et al. (2009) and modify it into MWIT (M stands for Modification) tree for mining FWUIs. Next, we propose an algorithm for mining FWUIs using MWIT-tree. We test the proposed algorithm in many databases and
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A Novel Trajectory Privacy-Preserving Future Time Index Structure in Moving Object Databaseshis growth are new trends of predictive applications emerging to meet the demands of end-users and satisfy their matters of life. The violation of users’ private information from their position disclosure, however, cuts off their beliefs when they enjoy such services. In this paper, therefore, we pr
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Summarizing Knowledge Base with Modal Conditionalsy levels using phrases ‘It is possible, that’ and ‘I believe, that’. Method is based on previous works on grounding of natural language statements. Semantics of conditionals, as opposed to associative rules, are consistent with their conventional natural language meaning. A software simulation is de
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Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Ba system (type-2 FLS) and sensitivity based linear learning method (SBLLM). The PVT properties are very important in the reservoir engineering computations whereby an accurate determination of PVT properties is important in the subsequent development of an oil field. In the formulation used, for the
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An Axiomatic Model for Merging Stratified Belief Bases by Negotiatione preferences of agents into layers, as a vehicle to represent the belief states of agents and their attitudes towards the negotiation situations. The belief merging process in our model is divided into two stages: in the first stage, the agents’ stratified belief bases are maped to their preference
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From Fuzzy Cognitive Maps to Granular Cognitive Mapsps among a collection of concepts (represented by nodes of the graph). The generalization of the map comes in the form of its granular connections whose design dwells upon a principle of Granular Computing such as an optimal allocation (distribution) of information granularity being viewed as an ess
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