001451172 000__ 06099cam\a2200673\i\4500 001451172 001__ 1451172 001451172 003__ OCoLC 001451172 005__ 20230310004646.0 001451172 006__ m\\\\\o\\d\\\\\\\\ 001451172 007__ cr\cn\nnnunnun 001451172 008__ 221115s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001451172 019__ $$a1350707788 001451172 020__ $$a9783031212444$$q(electronic bk.) 001451172 020__ $$a3031212444$$q(electronic bk.) 001451172 020__ $$z9783031212437 001451172 020__ $$z3031212436 001451172 0247_ $$a10.1007/978-3-031-21244-4$$2doi 001451172 035__ $$aSP(OCoLC)1350791077 001451172 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ$$dUKAHL 001451172 049__ $$aISEA 001451172 050_4 $$aQA248 001451172 08204 $$a511.3/22$$223/eng/20221115 001451172 1112_ $$aInternational Joint Conference on Rough Sets$$d(2022 :$$cSuzhou Shi, Jiangsu Sheng, China). 001451172 24510 $$aRough sets :$$bInternational Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, proceedings /$$cJingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li (eds.). 001451172 24630 $$aIJCRS 2022 001451172 264_1 $$aCham :$$bSpringer,$$c[2022] 001451172 264_4 $$c©2022 001451172 300__ $$a1 online resource (xxiii, 432 pages) :$$billustrations (some color). 001451172 336__ $$atext$$btxt$$2rdacontent 001451172 337__ $$acomputer$$bc$$2rdamedia 001451172 338__ $$aonline resource$$bcr$$2rdacarrier 001451172 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13633 001451172 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence 001451172 500__ $$aInternational conference proceedings. 001451172 500__ $$aIncludes author index. 001451172 5050_ $$aInvited Papers, IRSS President Forum -- Orthopartitions in Knowledge Representation and Machine Learning -- Rough Sets and Fuzzy Sets in Interactive Granular Computing -- MGCC: Multi-Granularity Cognitive Computing -- Three-way decision, three-world conception, and explainable AI -- Rough set theory and applications -- scikit-weak: A Python library for Weakly Supervised Machine Learning -- Applying Rough Set Theory for Digital Forensics Evidence Analysis -- Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis -- Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction -- Granular computing and applications -- USV Path Planning Based on Adaptive Fuzzy Reward -- A Naive Bayes Classifier Based on Neighborhood Granulation -- Matrix representations and interdependency on an L-fuzzy covering-based rough set -- Uncertainty-aware Deep Open-set Object Detection -- Classification and deep learning -- Rule Acquisition in Generalized One-sided Decision Systems -- Density peak clustering based split-and-merge -- Multi-label feature extraction with distance-based graph attention network -- Multi-scale Subgraph Contrastive Learning for Link Prediction -- Video Object Detection with MeanShift Tracking -- MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random -- Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing -- Using Users Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision -- Concept Reduction of Object-induced Three-way Concept Lattices -- An Attention-Based Token Pruning Method for Vision Transformers -- Three-way approximate criterion reduction in multi-criteria decision analysis -- Close Contact Detection in Social Networks via Possible Attribute Analysis -- Uncertainty in Three-way Decisions, Granular Computing, and Data Science -- A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation -- Hierarchical multi-granulation sequential three-way decisions -- KNN Ensemble Learning Integration Algorithm based on Three-way Decision -- Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions -- Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection -- Adaptive K-means Algorithm Based on Three-Way Decision -- 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification -- Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions. 001451172 506__ $$aAccess limited to authorized users. 001451172 520__ $$aThis book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022. The 28 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Invited papers, IRSS President Forum; rough set theory and applications; granular computing and applications; classification and deep learning; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing; uncertainty in three-way decisions; granular computing, and data science. 001451172 588__ $$aDescription based on print version record. 001451172 650_0 $$aRough sets$$vCongresses. 001451172 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001451172 655_7 $$aConference papers and proceedings.$$2lcgft 001451172 655_0 $$aElectronic books. 001451172 7001_ $$aYao, JingTao,$$eeditor.$$1https://isni.org/isni/000000011991699X 001451172 7001_ $$aFujita, Hamido,$$eeditor. 001451172 7001_ $$aYue, Xiaodong,$$d1959-$$eeditor. 001451172 7001_ $$aMiao, Duoqian,$$eeditor. 001451172 7001_ $$aGrzymala-Busse, Jerzy W.,$$eeditor. 001451172 7001_ $$aLi, Fanzhang,$$eeditor. 001451172 77608 $$iPrint version:$$aInternational Joint Conference on Rough Sets (2022 : Suzhou Shi, Jiangsu Sheng, China), creator.$$tRough sets.$$dCham : Springer Nature Switzerland, 2022$$z9783031212437$$w(OCoLC)1348994124 001451172 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001451172 830_0 $$aLecture notes in computer science ;$$v13633. 001451172 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001451172 852__ $$bebk 001451172 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-21244-4$$zOnline Access$$91397441.1 001451172 909CO $$ooai:library.usi.edu:1451172$$pGLOBAL_SET 001451172 980__ $$aBIB 001451172 980__ $$aEBOOK 001451172 982__ $$aEbook 001451172 983__ $$aOnline 001451172 994__ $$a92$$bISE