Rough Sets: International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11499
Editat de Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciuccien Limba Engleză Paperback – 9 iun 2019
Din seria Lecture Notes in Computer Science
- 20% Preț: 1005.39 lei
- 20% Preț: 322.44 lei
- 20% Preț: 324.00 lei
- 20% Preț: 315.19 lei
- 20% Preț: 238.01 lei
- 20% Preț: 554.98 lei
- 20% Preț: 322.44 lei
- 20% Preț: 438.69 lei
- 20% Preț: 325.58 lei
- 20% Preț: 148.66 lei
- 20% Preț: 310.26 lei
- 20% Preț: 256.27 lei
- 20% Preț: 1339.86 lei
- 20% Preț: 782.28 lei
- 17% Preț: 360.19 lei
- 20% Preț: 620.45 lei
- 20% Preț: 307.71 lei
- 20% Preț: 550.29 lei
- 20% Preț: 560.32 lei
- 20% Preț: 319.32 lei
- 15% Preț: 549.86 lei
- 20% Preț: 607.39 lei
- 20% Preț: 538.29 lei
- 20% Preț: 548.74 lei
- 20% Preț: 172.69 lei
- 20% Preț: 611.22 lei
- 20% Preț: 970.25 lei
- 20% Preț: 552.64 lei
- 20% Preț: 315.78 lei
- 20% Preț: 315.78 lei
- 20% Preț: 722.90 lei
- 20% Preț: 722.90 lei
- 20% Preț: 301.95 lei
- 20% Preț: 504.57 lei
- 20% Preț: 1120.51 lei
- 20% Preț: 369.12 lei
- 20% Preț: 334.94 lei
- 20% Preț: 552.64 lei
- Preț: 389.31 lei
- 20% Preț: 564.99 lei
- 20% Preț: 724.49 lei
- 20% Preț: 552.64 lei
- 20% Preț: 1018.35 lei
- 20% Preț: 331.82 lei
- 20% Preț: 309.90 lei
- 20% Preț: 122.89 lei
Preț: 327.93 lei
Preț vechi: 409.91 lei
-20% Nou
Puncte Express: 492
Preț estimativ în valută:
62.80€ • 67.96$ • 52.35£
62.80€ • 67.96$ • 52.35£
Carte tipărită la comandă
Livrare economică 09-23 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030228149
ISBN-10: 3030228142
Pagini: 650
Ilustrații: XXII, 550 p. 239 illus., 55 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.79 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030228142
Pagini: 650
Ilustrații: XXII, 550 p. 239 illus., 55 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.79 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Core Rough Set Models and Methods.- An Application of Bayesian Confirmation Theory for Three-Way Decision.- Concept Approximation Based on Rough Sets and Judgment.- Rough Sets and the Algebra of Conditional Logic.- Rough Sets Defined by Multiple Relations.- On the Roughly Continuous Real Functions.- On topologies defined by binary relations in rough sets.- Iterative Set Approximations Based on Tolerance Relation.- Approximation Based on Representatives.- Local search for attribute reduction.- Rough Matroids Based on Dual Approximation Operators.- Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM.- Rough Approximations on Two Universes under a Mapping.- Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values.- The Prototype View of Concepts.- A Three-Way Clustering Algorithm via Decomposing Similarity Matrices for Multi-View Data with Noise.- Related Methods and Hybridization.- A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators.- Learning Multi-granular Features for Harvesting Knowledge from Free Text.- Building a Framework of Rough Inclusion Functions by Means of Computerized Proof Assistant.- Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application.- Soft Petri Net.- Approximations induced by tolerance relations.- Three-Way Classification: Ambiguity and Abstention in Machine Learning.- Concepts Approximation Through Dialogue With User.- A Dynamic Dominance-based Rough Set Approach for Processing Ordered Data.- CSLI: Cost-sensitive collaborative filtering with local information embedding.- Attribute reduction based on optimistic multi-granulation information Systems.- Constructing the Optimal Approximation Sets of Rough Sets in Multi-granularity Spaces.- Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS).- Methods to Edit Multi-label Training Sets Using Rough Sets Theory.- Areas of Applications.- The Impact of Rough Set Conferences.- Multivariate Ovulation Window Detection at OvuFriend.- Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder.- Three-way Decision Collaborative Recommendation Algorithm Based on User Reputation.- Multi-Graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work.- 3D Face Recognition Based on Hybrid Data.- Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders.- Developing Pricing Models for Online Art Sales Using Text Analytics.- Hardware Implementation on Field Programmable Gate Array of Two-Stage Algorithm for Rough Set Reduct Generation.- A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks.- A Robust Long-term Pedestrian Tracking-by-Detection Algorithm Based on Three-way Decision.- A Bibliometric Profileof Research on Rough Sets.