01528nam 22004333 450 991111407000332120260504084511.03-032-23952-4(CKB)46899607800041(MiAaPQ)EBC32723313(Au-PeEL)EBL32723313(OCoLC)1590082208(EXLCZ)994689960780004120260504d2026 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Digital Health and Medical Bioengineering II Volume 3: Telemedicine, Biomaterials, Environmental Protection, Medical Imaging, and Biomechanics1st ed.Cham :Springer,2026.©2026.1 online resource (688 pages)IFMBE Proceedings Series ;v.1443-032-23951-6 This book gathers peer-reviewed contributions to the 13th International Conference on E-Health and Bioengineering (EHB 2025), held in hybrid format on November 13-14, 2025, in/from IaÈ™i, Romania.IFMBE Proceedings Series610.28Costin Hariton-Nicolae1297581Magjarevic Ratko1438398Petroiu Gabriela-Gladiola1917881MiAaPQMiAaPQMiAaPQBOOK9911114070003321Advances in Digital Health and Medical Bioengineering II4662796UNINA04002nam 2200865Ia 450 991113892110332120251214180227.097866129023149781040068601104006860X97804291408530429140851978128290231212829023189781420072624142007262510.1201/EBK1420072617(CKB)2670000000048315(EBL)589914(OCoLC)669043547(SSID)ssj0000426937(PQKBManifestationID)11290105(PQKBTitleCode)TC0000426937(PQKBWorkID)10404723(PQKB)11252523(Au-PeEL)EBL589914(CaPaEBR)ebr10417844(CaONFJC)MIL290231(OCoLC)671749804(OCoLC)176924810(FINmELB)ELB154316(CaSebORM)9781420072624(MiAaPQ)EBC589914(FlBoTFG)9780429140853(UkBuK)84714(EXLCZ)99267000000004831520100323d2010 uy 0engur|n|---|||||txtccrRelational data clustering models, algorithms, and applications /Bo Long, Zhongfei Zhang, Philip S. Yu1st editionTaylor and Francis20101 online resource (214 p.)Chapman & Hall/CRC data mining and knowledge discovery seriesDescription based upon print version of record.9781466529847 1466529849 9781420072617 1420072617 Includes bibliographical references and index.Front cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Part I: Models; Chapter 2: Co-Clustering; Chapter 3: Heterogeneous Relational Data Clustering; Chapter 4: Homogeneous Relational Data Clustering; Chapter 5: General Relational Data Clustering; Chapter 6: Multiple-View Relational Data Clustering; Chapter 7: Evolutionary Data Clustering; Part II: Algorithms; Chapter 8: Co-Clustering; Chapter 9: Heterogeneous Relational Data Clustering; Chapter 10: Homogeneous Relational Data Clustering; Chapter 11: General Relational Data ClusteringChapter 12: Multiple-View Relational Data ClusteringChapter 13: Evolutionary Data Clustering; Part III: Applications; Chapter 14: Co-Clustering; Chapter 15: Heterogeneous Relational Data Clustering; Chapter 16: Homogeneous Relational Data Clustering; Chapter 17: General Relational Data Clustering; Chapter 18: Multiple-View and Evolutionary Data Clustering; Part IV: Summary; References; Index; Back coverThis is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based mChapman & Hall/CRC data mining and knowledge discovery series.Cluster analysisData miningRelational databasesCluster analysis.Data mining.Relational databases.005.75/6006.312Long BoautLong BoYu Philip SZhang ZhongfeiMiAaPQMiAaPQMiAaPQBOOK9911138921103321UNINA