cam a22 5 4500 317156217 CHVBK 20201009192931.0 m d cr |n |||||||| 140625s2014 xxk|||| s 0 0|eng d 978-1-4471-6407-4 978-1-4471-6406-7 (print) 10.1007/978-1-4471-6407-4 doi (SERSOL)ssj0001186546 (IDSSG)000655360 (WaSeSS)ssj0001186546 WaSeSS QA76.9.D343 UNF bicssc UYQE bicssc COM021030 bisacsh 006.312 23 CH0016364194EF25829DDC1257F070070143E iCapture Simovici Dan A. author Mathematical Tools for Data Mining [Elektronische Daten] Set Theory, Partial Orders, Combinatorics by Dan A. Simovici, Chabane Djeraba 2nd ed. 2014. London Springer London Imprint: Springer 2014 1 online resource (XI, 831 p. 93 illus.) online resource text file PDF rda Advanced Information and Knowledge Processing 1610-3947 Sets, Relations and Functions -- Partially Ordered Sets -- Combinatorics -- Topologies and Measures -- Linear Spaces -- Norms and Inner Products -- Spectral Properties of Matrices -- Metric Spaces Topologies and Measures -- Convex Sets and Convex Functions -- Graphs and Matrices -- Lattices and Boolean Algebras -- Applications to Databases and Data Mining -- Frequent Item Sets and Association Rules -- Special Metrics -- Dimensions of Metric Spaces -- Clustering. Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained, and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included. Computer science Computational complexity Data mining Computer science Mathematics Djeraba Chabane author SpringerLink (Online service) Printed edition 9781447164067 https://link.springer.com/10.1007/978-1-4471-6407-4 Uni Basel: Volltext BK020053 XK020053 XK020000 Springer Computer Science eBooks 2014 English/International E-Books von 360MarcUpdates noalma ids I IDSSG HSG HSG ONL HONL000655360 IDSBB A145 A145 145VT IDSBB 100 1- Simovici Dan A. author IDSBB 490 1- Advanced Information and Knowledge Processing 1610-3947 IDSBB 700 1- Djeraba Chabane author IDSBB 710 2- SpringerLink (Online service) IDSBB 776 08 Printed edition 9781447164067 IDSBB 856 40 https://link.springer.com/10.1007/978-1-4471-6407-4 Uni Basel: Volltext IDSSG 490 0- Advanced Information and Knowledge Processing IDSSG 700 1- Simovici Dan A. IDSSG 700 1- Djeraba Chabane IDSSG 856 4- https://doi.org/10.1007/978-1-4471-6407-4 Full text for the University of St. Gallen SWISSBIB 098981684