Relational Data Clustering PDF Download

Relational Data Clustering PDF
Author: Bo Long
Publisher: CRC Press
ISBN: 9781420072624
Size: 39.68 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 216
View: 2142

Get Book

Relational Data Clustering Book Description:

A culmination of the authors’ years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems. After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.

Data Clustering PDF Download

Data Clustering PDF
Author: Charu C. Aggarwal
Publisher: CRC Press
ISBN: 1315360411
Size: 43.44 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 652
View: 4931

Get Book

Data Clustering Book Description:

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Artificial Intelligence And Computational Intelligence PDF Download

Artificial Intelligence and Computational Intelligence PDF
Author: Hepu Deng
Publisher: Springer
ISBN: 3642238815
Size: 42.13 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 686
View: 7132

Get Book

Artificial Intelligence And Computational Intelligence Book Description:

This three-volume proceedings contains revised selected papers from the Second International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011. The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part I covered are: applications of artificial intelligence; applications of computational intelligence; automated problem solving; biomedical inforamtics and computation; brain models/cognitive science; data mining and knowledge discovering; distributed AI and agents; evolutionary programming; expert and decision support systems; fuzzy computation; fuzzy logic and soft computing; and genetic algorithms.

Proceedings Of The Twenty Third Aaai Conference On Artificial Intelligence And The Twentieth Innovative Applications Of Artificial Intelligence Conference PDF Download

Proceedings of the Twenty third AAAI Conference on Artificial Intelligence and the Twentieth Innovative Applications of Artificial Intelligence Conference PDF
Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9781577353683
Size: 20.54 MB
Format: PDF, Mobi
Category : Artificial intelligence
Languages : en
Pages : 636
View: 5082

Get Book

Proceedings Of The Twenty Third Aaai Conference On Artificial Intelligence And The Twentieth Innovative Applications Of Artificial Intelligence Conference Book Description:


Relational Data Mining PDF Download

Relational Data Mining PDF
Author: Saso Dzeroski
Publisher: Springer Science & Business Media
ISBN: 9783540422891
Size: 75.47 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 398
View: 2983

Get Book

Relational Data Mining Book Description:

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Knowledge Based Clustering PDF Download

Knowledge Based Clustering PDF
Author: Witold Pedrycz
Publisher: John Wiley & Sons
ISBN: 0471708593
Size: 19.43 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 336
View: 6544

Get Book

Knowledge Based Clustering Book Description:

A comprehensive coverage of emerging and current technologydealing with heterogeneous sources of information, including data,design hints, reinforcement signals from external datasets, andrelated topics Covers all necessary prerequisites, and if necessary,additionalexplanations of more advanced topics, to make abstract conceptsmore tangible Includes illustrative material andwell-known experimentstooffer hands-on experience

Inductive Logic Programming PDF Download

Inductive Logic Programming PDF
Author: Hendrik Blockeel
Publisher: Springer Science & Business Media
ISBN: 3540784683
Size: 15.15 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 307
View: 2497

Get Book

Inductive Logic Programming Book Description:

This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Conference on Inductive Logic Programming, ILP 2007, held in Corvallis, OR, USA, in June 2007 in conjunction with ICML 2007, the International Conference on Machine Learning. The 15 revised full papers and 11 revised short papers presented together with 2 invited lectures were carefully reviewed and selected from 38 initial submissions. The papers present original results on all aspects of learning in logic, as well as multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and learning in other non-propositional knowledge representation frameworks. Thus all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications in various areas are covered.

Proceedings Of The First International Conference On Advanced Data And Information Engineering Daeng 2013 PDF Download

Proceedings of the First International Conference on Advanced Data and Information Engineering  DaEng 2013  PDF
Author: Tutut Herawan
Publisher: Springer Science & Business Media
ISBN: 9814585181
Size: 59.86 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 730
View: 1523

Get Book

Proceedings Of The First International Conference On Advanced Data And Information Engineering Daeng 2013 Book Description:

The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence