001484270 000__ 05857cam\\2200649\a\4500
001484270 001__ 1484270
001484270 003__ OCoLC
001484270 005__ 20240117003319.0
001484270 006__ m\\\\\o\\d\\\\\\\\
001484270 007__ cr\un\nnnunnun
001484270 008__ 231125s2023\\\\si\\\\\\o\\\\\101\0\eng\d
001484270 019__ $$a1410562454
001484270 020__ $$a9789819983186$$q(electronic bk.)
001484270 020__ $$a9819983185$$q(electronic bk.)
001484270 020__ $$z9819983177
001484270 020__ $$z9789819983179
001484270 0247_ $$a10.1007/978-981-99-8318-6$$2doi
001484270 035__ $$aSP(OCoLC)1410591494
001484270 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO
001484270 049__ $$aISEA
001484270 050_4 $$aQA76.9.D343
001484270 08204 $$a006.3/12$$223/eng/20231207
001484270 1112_ $$aInternational Symposium on Knowledge and Systems Sciences$$n(22nd :$$d2023 :$$cGuangzhou, China)
001484270 24510 $$aKnowledge and systems sciences :$$b22nd International Symposium, KSS 2023, Guangzhou, China, December 2-3, 2023, Proceedings /$$cJian Chen, Van-Nam Huynh, Xijin Tang, Jiangning Wu, editors.
001484270 2463_ $$aKSS 2023
001484270 260__ $$aSingapore :$$bSpringer,$$c2023.
001484270 300__ $$a1 online resource (312 p.).
001484270 4901_ $$aCommunications in Computer and Information Science ;$$v1927
001484270 500__ $$a2.1 Chinese Medicinal Material Price Prediction
001484270 500__ $$aIncludes author index.
001484270 5050_ $$aIntro -- Preface -- Organization -- Abstracts Keynotes -- Responsible AI and Data Science for Social Good -- Forecasting Inflation Rates: A Large Panel of Micro-Level Data Approach -- Encouraging the Development of Knowledge Systems -- Analysis, Visualization and Improvement of Human Collaboration Dynamics Using Computational Methods -- Contents -- Data Mining, Machine Learning and Deep Learning -- A Hybrid Supervised Learning Approach for Intrusion Detection Systems -- 1 Introduction -- 2 Related Work -- 3 Cyber Security Dataset -- 4 Proposed Framework -- 4.1 Data Pre-processing
001484270 5058_ $$a4.2 Feature Engineering -- 4.3 Supervised Learning Algorithms for IDS -- 4.4 Validation Metrics -- 5 Experimental Study -- 5.1 Experimental Setup -- 5.2 Performance Analysis -- 6 Conclusions -- References -- A Novel Approach for Fake Review Detection Based on Reviewing Behavior and BERT Fused with Cosine Similarity -- 1 Introduction -- 2 Related Works -- 3 Fake Review Detection Design -- 3.1 Fusing Cosine Similarity into BERT -- 3.2 Reviewer Behavioral Feature Extractor -- 3.3 Fake Review Detection -- 4 Experiments -- 4.1 Dataset and Pre-processing -- 4.2 Evaluation Metrics
001484270 5058_ $$a4.3 Experimental Settings -- 4.4 Experimental Results -- 4.5 Dimensionality Reduction Analysis of Text Feature Vectors -- 4.6 Ablation Study -- 5 Conclusions -- References -- LinkEE: Linked List Based Event Extraction with Attention Mechanism for Overlapping Events -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 BERT Encoder -- 3.2 Event Type Decoder -- 3.3 Trigger Word Decoder -- 3.4 Event Arguments Decoder -- 4 Experiments -- 4.1 Dataset and Evaluation Metric -- 4.2 Implementation Details -- 4.3 Comparison Methods -- 4.4 Comparative Results -- 4.5 Analysis on Overlap/Normal Data
001484270 5058_ $$a4.6 Discussion for Model Variants -- 5 Conclusion -- References -- End-to-End Aspect-Based Sentiment Analysis Based on IDCNN-BLSA Feature Fusion -- 1 Introduction -- 2 Model Overview -- 2.1 Model Architecture -- 2.2 BERT as Embedding Layer -- 2.3 Downstream Model Design -- 3 Experiment Results and Discussions -- 3.1 Dataset and Parameters Settings -- 3.2 Performances Comparison -- 3.3 Ablation Experiments -- 3.4 Generalization Issue -- 3.5 Case Studies -- 4 Conclusions -- References -- How to Quantify Perceived Quality from Consumer Big Data: An Information Usefulness Perspective
001484270 5058_ $$a1 Introduction -- 2 Related Works -- 2.1 Perceived Quality -- 2.2 Information Usefulness Analysis -- 3 Methodology -- 3.1 Information Usefulness Evaluation -- 3.2 Perceived Quality Quantification -- 4 Results -- 4.1 Data Collection and Description -- 4.2 Results of Information Usefulness Analysis -- 4.3 Results of Perceived Quality Quantification -- 5 Discussion and Conclusion -- References -- Chinese Medicinal Materials Price Index Trend Prediction Using GA-XGBoost Feature Selection and Bidirectional GRU Deep Learning -- 1 Introduction -- 2 Related Works
001484270 506__ $$aAccess limited to authorized users.
001484270 520__ $$aThis book constitutes the proceedings of the 22nd International Symposium, KSS 2023, held in Guangzhou, China, during December 23, 2023. The 20 full papers included in this volume were carefully reviewed and selected from 56 submissions. The volume is divided in topical sections that cover the following topics: data mining and machine learning, complex systems modeling, decision analysis and knowledge management, opinion mining and knowledge technologies.
001484270 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 7, 2023).
001484270 650_6 $$aExploration de données (Informatique)$$vCongrès.
001484270 650_6 $$aSystèmes d'information$$vCongrès.
001484270 650_0 $$aData mining$$vCongresses.$$vCongresses$$0(DLC)sh2008102035
001484270 650_0 $$aInformation storage and retrieval systems$$vCongresses.$$xInformation storage and retrieval systems$$0(DLC)sh 85032460
001484270 655_0 $$aElectronic books.
001484270 7001_ $$aChen, Jian$$c(Professor)$$0(DLC)n 2020037913
001484270 7001_ $$aHuynh, Van-Nam.
001484270 7001_ $$aTang, Xijin.
001484270 7001_ $$aWu, Jiangning.
001484270 77608 $$iPrint version:$$aChen, Jian$$tKnowledge and Systems Sciences$$dSingapore : Springer,c2023
001484270 830_0 $$aCommunications in computer and information science ;$$v1927.
001484270 852__ $$bebk
001484270 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-8318-6$$zOnline Access$$91397441.1
001484270 909CO $$ooai:library.usi.edu:1484270$$pGLOBAL_SET
001484270 980__ $$aBIB
001484270 980__ $$aEBOOK
001484270 982__ $$aEbook
001484270 983__ $$aOnline
001484270 994__ $$a92$$bISE