Data Mining And Knowledge Discovery Approaches Based On Rule Induction Techniques Pdf

File Name: data mining and knowledge discovery approaches based on rule induction techniques .zip
Size: 24913Kb
Published: 07.06.2021

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly.

Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts. The intended audience for this book includes graduate students studying data mining who have some background in mathematical logic and discrete optimization, as well as researchers and practitioners in the same area.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data.

Data mining in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures. Creating different algorithm and testing them with input data can be realized in the WEKA software.

From Wikipedia, the free encyclopedia. Freitas 11 November Pappa; Alex Freitas 27 October Categories : Machine learning Inductive reasoning Computer science stubs. Hidden categories: All stub articles. Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file. Download as PDF Printable version. Add links.

This computer science article is a stub. You can help Wikipedia by expanding it.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (eBook, PDF)

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Triantaphyllou Published Computer Science. This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery DM and KD. Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples many of which are drawn from real-life applications.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

It seems that you're in Germany. We have a dedicated site for Germany. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data.

Search this site. Advances in Computer Science and Information Technology. Against Literature PDF. Al Norte PDF.

Jetzt bewerten Jetzt bewerten. This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery DM and KD. Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples - many of which are drawn from real-life applications.

Rule induction

Prabha Dhandayudam 1 and Ilango Krishnamurthi 2. The customer relationship management CRM is a business methodology used to build long term profitable customers by analyzing customer needs and behaviors. The customer behavior is analyzed by choosing important attributes in the customer database.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (eBook, PDF)

Springer data mining and knowledge discovery approaches based on rule induction techniques ISBN x. Data mining and knowledge discovery via logic based methods theory, algorithms, and applications triantaphyllou 06 28 20 0. IT training data mining and knowledge discovery via logic based methods theory, algorithms, and applications triantaphyllou 06 28 85 0. Lin t y co eds foundations of data mining and knowledge discovery SCI vol 6 , t s 11 0. L, , Lindell, Y , Linoff, G.

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data. Data mining in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures. Creating different algorithm and testing them with input data can be realized in the WEKA software.

It seems that you're in Germany. We have a dedicated site for Germany. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts.

Tài liệu liên quan

 Понятия не имею. Я побежал позвонить в полицию. Когда я вернулся, немца уже не. - Вы не знаете, кто он. - Какой-то турист. - Вы уверены. - Туризм - моя профессия! - отрезал Клушар.

 Хорошо. Давайте попробуем.  - Он потянулся к клавиатуре.  - Мистер Беккер, пожалуйста, продиктуйте надпись. Медленно и отчетливо. Дэвид Беккер начал читать, Джабба печатал следом за. Когда все было закончено, они проверили орфографические ошибки и удалили пробелы.

Rule induction
0 Response

Leave a Reply