000823526 000__ 05173cam\a2200553Ii\4500 000823526 001__ 823526 000823526 005__ 20230306143930.0 000823526 006__ m\\\\\o\\d\\\\\\\\ 000823526 007__ cr\cn\nnnunnun 000823526 008__ 170908s2018\\\\sz\a\\\\ob\\\\101\0\eng\d 000823526 019__ $$a1003200384$$a1008873766$$a1011846603 000823526 020__ $$a9783319669397$$q(electronic book) 000823526 020__ $$a3319669397$$q(electronic book) 000823526 020__ $$z9783319669380 000823526 020__ $$z3319669389 000823526 0247_ $$a10.1007/978-3-319-66939-7$$2doi 000823526 035__ $$aSP(OCoLC)on1003192349 000823526 035__ $$aSP(OCoLC)1003192349$$z(OCoLC)1003200384$$z(OCoLC)1008873766$$z(OCoLC)1011846603 000823526 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dEBLCP$$dN$T$$dGW5XE$$dYDX$$dOCLCF$$dNJR$$dAZU$$dCOO$$dOCLCO$$dUAB$$dU3W$$dCAUOI 000823526 049__ $$aISEA 000823526 050_4 $$aQ342$$b.U39 2017eb 000823526 08204 $$a006.3$$223 000823526 1112_ $$aUK Workshop on Computational Intelligence$$n(17th :$$d2017 :$$cCardiff, Wales) 000823526 24510 $$aAdvances in computational intelligence systems :$$bcontributions presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK /$$cFei Chao, Steven Schockaert, Qingfu Zhang, editors. 000823526 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018] 000823526 300__ $$a1 online resource (xii, 368 pages) :$$billustrations. 000823526 336__ $$atext$$btxt$$2rdacontent 000823526 337__ $$acomputer$$bc$$2rdamedia 000823526 338__ $$aonline resource$$bcr$$2rdacarrier 000823526 347__ $$atext file$$bPDF$$2rda 000823526 4901_ $$aAdvances in intelligent systems and computing ;$$vvolume 650 000823526 504__ $$aIncludes bibliographical references and index. 000823526 5050_ $$aPreface; Organisation; Programme Committee; Additional Reviewers; Contents; Modelling and Representation; Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation; 1 Introduction; 2 Methods; 2.1 Programming Environment; 2.2 Databases, Ontologies and Pre-processing; 2.3 Association Rule Mining; 2.4 Related Work; 3 Results; 3.1 Ontology Integration; 4 Discussion; 5 Conclusions; References; Sentiment Analysis Model Based on Structure Attention Mechanism; Abstract; 1 Introduction; 2 Related Work 000823526 5058_ $$a2.1 Sentiment Classification with Traditional Machine Learning Methods2.2 Sentiment Classification with RNN and Attention Mechanism; 3 Structure-Attention-Based LSTM; 4 Experiment; 4.1 Dataset; 4.2 Vector Dimension Selection; 4.3 Results; 4.4 Discussion; 5 Conclusion and Outlook; Acknowledgement; References; Fuzzy Representation for Flexible Requirement Satisfaction; Abstract; 1 Introduction; 2 Background; 2.1 Fuzzy Sets; 2.2 RELAX Requirement Language; 3 Fuzzy for Requirement Satisfaction Representation; 4 Conclusion; References 000823526 5058_ $$aA Multidisciplinary Method for Constructing and Validating Word Similarity DatasetsAbstract; 1 Introduction; 2 Word Pairs Selection Based on Computational Linguistic Resources; 2.1 Word Length and Frequency; 2.2 Entity Words vs Non-entity Words; 2.3 Data Balance and Word Pairs Classification; 2.4 Word Pairs Selection Result; 3 Scoring by Psychological Scaling; 4 Validation Based on ERPs Experiments; 4.1 A Brief Introduce to ERPs; 4.2 Participants; 4.3 Electroencephalography Recording; 4.4 Experimental Procedure; 4.5 Data Analysis; 4.6 Result 1: Response Time Comparison 000823526 5058_ $$a4.7 Result 2: Comparison Among Different Similarity Groups4.8 Result 3: Comparison Between the Similarity Group and the Relatedness Group; 5 Conclusion; Acknowledgments; References; Fuzzy Connected-Triple for Predicting Inter-variable Correlation; 1 Introduction; 2 Predicting System; 2.1 Conceptual Framework; 2.2 Connected-Triple Extraction; 2.3 Link Strength Measurement; 2.4 Fuzzy Inference Model; 3 Experimental Evaluation; 3.1 Datasets; 3.2 Implementation of Fuzzy Inference Model; 3.3 Illustrative Example of Link Prediction; 3.4 Experimental Setup; 3.5 Results and Discussion; 4 Conclusion 000823526 506__ $$aAccess limited to authorized users. 000823526 520__ $$aThe book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 17th Annual UK Workshop on Computational Intelligence, held on September 6-8, 2017, in Cardiff, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence. 000823526 588__ $$aVendor-supplied metadata. 000823526 650_0 $$aComputational intelligence$$vCongresses. 000823526 7001_ $$aChao, Fei,$$eeditor. 000823526 7001_ $$aSchockaert, Steven,$$eeditor. 000823526 7001_ $$aZhang, Qingfu,$$eeditor. 000823526 77608 $$iPrint version: $$z3319669389$$z9783319669380$$w(OCoLC)996433212 000823526 830_0 $$aAdvances in intelligent systems and computing ;$$v650. 000823526 852__ $$bebk 000823526 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-66939-7$$zOnline Access$$91397441.1 000823526 909CO $$ooai:library.usi.edu:823526$$pGLOBAL_SET 000823526 980__ $$aEBOOK 000823526 980__ $$aBIB 000823526 982__ $$aEbook 000823526 983__ $$aOnline 000823526 994__ $$a92$$bISE