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000944368 019__ $$a1191061026$$a1195468943$$a1196163824$$a1197540669$$a1197554033
000944368 020__ $$a9783030553937$$q(electronic book)
000944368 020__ $$a3030553930$$q(electronic book)
000944368 020__ $$z9783030553920
000944368 0247_ $$a10.1007/978-3-030-55393-7$$2doi
000944368 0248_ $$a10.1007/978-3-030-55
000944368 035__ $$aSP(OCoLC)on1193120479
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000944368 050_4 $$aQA76.76.E95$$bK77 2020eb
000944368 08204 $$a006.3/31$$223
000944368 1112_ $$aKSEM (Conference)$$n(13th :$$d2020 :$$cOnline)
000944368 24510 $$aKnowledge science, engineering and management :$$b13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings.$$nPart II /$$cGang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao (eds.).
000944368 2463_ $$aKSEM 2020
000944368 260__ $$aCham, Switzerland :$$bSpringer,$$c2020.
000944368 300__ $$a1 online resource (495 pages).
000944368 336__ $$atext$$btxt$$2rdacontent
000944368 337__ $$acomputer$$bc$$2rdamedia
000944368 338__ $$aonline resource$$bcr$$2rdacarrier
000944368 4901_ $$aLecture Notes in Computer Science ;$$v12275
000944368 4901_ $$aLecture notes in artificial intelligence
000944368 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
000944368 500__ $$aInternational conference proceedings.
000944368 500__ $$a"The conference was held virtually due to the COVID-19 pandemic."
000944368 500__ $$aIncludes author index.
000944368 5050_ $$aMachine Learning -- MA-TREX: Multi-agent Trajectory-ranked Reward Extrapolation via Inverse Reinforcement Learning -- An Incremental Learning Network Model based on Random Sample Distribution Fitting -- Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System -- Improving Policy Generalization for Teacher-Student Reinforcement Learning -- Recommendation Algorithms and Systems -- Towards effective top-k location recommendation for business facility placement -- Pairwise-based Hierarchical Gating Networks for Sequential Recommendation -- Time-aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation -- A Time Interval Aware Approach for Session-based Social Recommendation -- AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering -- Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation -- Robust Sequence Embedding for Recommendation -- Deep Generative Recommendation with Maximizing Reciprocal Rank -- Spatio-Temporal Attentive Network for Session-based Recommendation -- Social Knowledge Analysis and Management -- Category-level Adversarial Network for Cross-Domain Sentiment Classification -- Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning -- CIFEF: Combining implicit and explicit features for friendship inference in location-based social networks -- A Knowledge Enhanced Ensemble Learning Model for Mental Disorder Detection on Social Media -- Constrained Viral Marketing in Social Networks -- A Multi-source Self-adaptive Transfer Learning Model for Mining Social Links -- Text Mining and Document Analysis -- Multi-hop Syntactic Graph Convolutional Networks for Aspect-based Sentiment Classification -- A Matching-Integration-Verification Model for Multiple-Choice Reading Comprehension -- How to interact and change? Abstractive Dialogue Summarization with Dialogue Act Weight a nd Topic Change Info -- Chinese Text Classification via Bidirectional Lattice LSTM -- MG-BERT: A Multi-Glosses BERT Model for Word Sense Disambiguation -- Top Personalized Reviews Set Selection Based on Subject Aspect Modeling -- SCX-SD: Semi-Supervised Method for Contextual Sarcasm Detection -- End-to-End Multi-task Learning for Allusion Detection in Ancient Chinese Poems -- Defense of Word-level Adversarial Attacks via Random Substitution Encoding -- Document-Improved Hierarchical Modular Attention for Event Detection -- Fine-tuned Transformer Model for Sentiment Analysis -- An Algorithm for Emotion Evaluation and Analysis Based on CBOW -- Predicting Crowdsourcing Worker Performance with Knowledge Tracing -- Deep Learning -- Watermarking neural network with compensation mechanism -- Information Diffusion Prediction with Personalized Graph Neural Networks -- Relationship-Aware Hard Negative Generation in Deep Metric Learning -- Striking a Balance in Unsupervised Fine-grained Domain Adaptation Using Adversarial Learning -- Improved Performance of GANs via Integrating Gradient Penalty with Spectral Normalization -- Evidential Deep Neural Networks for Uncertain Data Classification -- GDCRN: Global Diffusion Convolutional Residual Network for Traffic Flow Prediction -- Depthwise Separable Convolutional Neural Network for Confidential Information Analysis -- The Short-Term Exit Traffic Prediction of A Toll Station Based on LSTM -- Long and Short Term Risk Control for Online Portfolio Selection.
000944368 506__ $$aAccess limited to authorized users.
000944368 520__ $$aThis two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.
000944368 588__ $$aDescription based on print version record.
000944368 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses.
000944368 650_0 $$aKnowledge management$$vCongresses.
000944368 650_0 $$aDecision making$$xData processing$$vCongresses.
000944368 650_0 $$aProblem solving$$xData processing$$vCongresses.
000944368 650_0 $$aInformation technology$$vCongresses.
000944368 650_0 $$aData mining$$vCongresses.
000944368 7001_ $$aLi, Gang$$c(Computer scientist)
000944368 7001_ $$aShen, Heng Tao.
000944368 7001_ $$aYuan, Ye.
000944368 7001_ $$aWang, Xiaoyang.
000944368 7001_ $$aLiu, Huawen.
000944368 7001_ $$aZhao, Xiang.
000944368 77608 $$iPrint version:$$aLi, Gang$$tKnowledge Science, Engineering and Management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II$$dCham : Springer International Publishing AG,c2020$$z9783030553920
000944368 830_0 $$aLecture notes in computer science ;$$v12275.
000944368 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
000944368 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
000944368 85280 $$bebk$$hSpringerLink
000944368 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-3-030-55393-7$$zOnline Access
000944368 909CO $$ooai:library.usi.edu:944368$$pGLOBAL_SET
000944368 980__ $$aEBOOK
000944368 980__ $$aBIB
000944368 982__ $$aEbook
000944368 983__ $$aOnline
000944368 994__ $$a92$$bISE