Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives
DOWNLOAD
Download Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives
DOWNLOAD
Author : Dr. Annaluri Sreenivasa Rao
language : en
Publisher: Shineeks Publishers
Release Date : 2022-03-16
Nomenclature Of Datastreams Mining Strategies Concept Drift And Research Objectives written by Dr. Annaluri Sreenivasa Rao and has been published by Shineeks Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-16 with Education categories.
Streaming data is one of the primary sources of what is known as big data. While data streams and big data have gotten a lot of attention in the recent decade, many research methodologies are often intended for well-behaved controlled problem settings, overlooking major obstacles given by real-world applications. The eight open difficulties for data stream mining are discussed in this book. Our goal is to discover gaps between present research and useful applications, to highlight unresolved issues, and to create new data stream mining research lines that are relevant to applications.
Big Data Analysis New Algorithms For A New Society
DOWNLOAD
Author : Nathalie Japkowicz
language : en
Publisher: Springer
Release Date : 2015-12-16
Big Data Analysis New Algorithms For A New Society written by Nathalie Japkowicz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-16 with Technology & Engineering categories.
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Intelligent Computing For Sustainable Development
DOWNLOAD
Author : S. Satheeskumaran
language : en
Publisher: Springer Nature
Release Date : 2024-05-23
Intelligent Computing For Sustainable Development written by S. Satheeskumaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Mathematics categories.
The two-volume proceedings set CCIS 2121 and 2122 constitutes the refereed proceedings of the First International Conference on Intelligent Computing for Sustainable Development, ICICSD 2023, which took place in Hyderabad, India, during August 25–26, 2023. The 46 papers included in these proceedings were carefully reviewed and selected from 138 submissions. They focus on digital healthcare, renewable energy, smart cities, digital farming, and autonomous systems.
Machine Learning Techniques For Improved Business Analytics
DOWNLOAD
Author : G., Dileep Kumar
language : en
Publisher: IGI Global
Release Date : 2018-07-06
Machine Learning Techniques For Improved Business Analytics written by G., Dileep Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-06 with Business & Economics categories.
Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.
Collaborative Filtering Using Data Mining And Analysis
DOWNLOAD
Author : Bhatnagar, Vishal
language : en
Publisher: IGI Global
Release Date : 2016-07-13
Collaborative Filtering Using Data Mining And Analysis written by Bhatnagar, Vishal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-13 with Computers categories.
Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to find ways to sift through and categorize the overload of data while removing redundant material. Collaborative Filtering Using Data Mining and Analysis evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices. Featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis, as well as their various applications, this book is an essential reference source for researchers and engineers interested in collaborative filtering.
New Frontiers In Mining Complex Patterns
DOWNLOAD
Author : Michelangelo Ceci
language : en
Publisher: Springer
Release Date : 2016-05-17
New Frontiers In Mining Complex Patterns written by Michelangelo Ceci and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-17 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences.
Knowledge Discovery From Data Streams
DOWNLOAD
Author : Joao Gama
language : en
Publisher: CRC Press
Release Date : 2010-05-25
Knowledge Discovery From Data Streams written by Joao Gama and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-25 with Business & Economics categories.
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams. The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also addresses several challenges of data mining in the future, when stream mining will be at the core of many applications. These challenges involve designing useful and efficient data mining solutions applicable to real-world problems. In the appendix, the author includes examples of publicly available software and online data sets. This practical, up-to-date book focuses on the new requirements of the next generation of data mining. Although the concepts presented in the text are mainly about data streams, they also are valid for different areas of machine learning and data mining.
Process Mining Handbook
DOWNLOAD
Author : Wil M. P. van der Aalst
language : en
Publisher: Springer Nature
Release Date : 2022-06-27
Process Mining Handbook written by Wil M. P. van der Aalst and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-27 with Business & Economics categories.
This is an open access book. This book comprises all the single courses given as part of the First Summer School on Process Mining, PMSS 2022, which was held in Aachen, Germany, during July 4-8, 2022. This volume contains 17 chapters organized into the following topical sections: Introduction; process discovery; conformance checking; data preprocessing; process enhancement and monitoring; assorted process mining topics; industrial perspective and applications; and closing.
Proceedings Of The 12th International Conference On Soft Computing For Problem Solving
DOWNLOAD
Author : Millie Pant
language : en
Publisher: Springer Nature
Release Date : 2024-06-30
Proceedings Of The 12th International Conference On Soft Computing For Problem Solving written by Millie Pant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-30 with Computers categories.
This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11–13 August 2023. This book presents the latest achievements and innovations in the interdisciplinary areas of soft computing, machine learning, and data science. It covers original research papers in the areas of algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and health care, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
Sentiment Analysis And Knowledge Discovery In Contemporary Business
DOWNLOAD
Author : Rajput, Dharmendra Singh
language : en
Publisher: IGI Global
Release Date : 2018-08-31
Sentiment Analysis And Knowledge Discovery In Contemporary Business written by Rajput, Dharmendra Singh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Business & Economics categories.
In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.