Data Mining In Large Sets Of Complex Data
DOWNLOAD
Download Data Mining In Large Sets Of Complex Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Mining In Large Sets Of Complex Data 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
Data Mining In Large Sets Of Complex Data
DOWNLOAD
Author : Robson Leonardo Ferreira Cordeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-11
Data Mining In Large Sets Of Complex Data written by Robson Leonardo Ferreira Cordeiro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Computers categories.
The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a sound “yes”, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.
Complex Data Analytics With Formal Concept Analysis
DOWNLOAD
Author : Rokia Missaoui
language : en
Publisher: Springer Nature
Release Date : 2022-06-29
Complex Data Analytics With Formal Concept Analysis written by Rokia Missaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-29 with Computers categories.
FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.
Big Data In Complex Systems
DOWNLOAD
Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2015-01-02
Big Data In Complex Systems written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-02 with Technology & Engineering categories.
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
Mining Multimedia And Complex Data
DOWNLOAD
Author : Osmar R. Zaiane
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-10-13
Mining Multimedia And Complex Data written by Osmar R. Zaiane and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-13 with Computers categories.
This book presents a collection of thoroughly refereed revised papers selected from two international workshops on mining complex data: Multimedia Data Mining, MDM/KDD at KDD 2002 and Knowledge Discovery from Multimedia and Complex Data, KDMCD at PAKDD 2002. The 17 revised full papers presented together with a detailed introduction give a coherent survey of the state of the art in the area. Among the topics addressed are mining spatial multimedia data, mining audio data and multimedia support, mining image and video data, frameworks for multimedia mining, multimedia for information retrieval, and applications of multimedia mining.
Innovative Computing
DOWNLOAD
Author : Chao-Tung Yang
language : en
Publisher: Springer Nature
Release Date : 2020-09-25
Innovative Computing written by Chao-Tung Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.
This book gathers peer-reviewed proceedings of the 3rd International Conference on Innovative Computing (IC 2020). This book aims to provide an open forum for discussing recent advances and emerging trends in information technology, science, and engineering. Themes within the scope of the conference include Communication Networks, Business Intelligence and Knowledge Management, Web Intelligence, and any related fields that depend on the development of information technology. The respective contributions presented here cover a wide range of topics, from databases and data mining, networking and communications, the web and Internet of Things, to embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Readers such as students, researchers, and industry professionals in the fields of cloud computing, Internet of Things, machine learning, information security, multimedia systems, and information technology benefit from this comprehensive overview of the latest advances in information technology. The book can also benefit young investigators looking to start a new research program.
Data Mining Southeast Asia Edition
DOWNLOAD
Author : Jiawei Han
language : en
Publisher: Elsevier
Release Date : 2006-04-06
Data Mining Southeast Asia Edition written by Jiawei Han and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-06 with Computers categories.
Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. - A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data - Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning - Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects - Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Big Data Machine Learning And Data Mining Explained
DOWNLOAD
Author : Chitrali Kaul
language : en
Publisher: Educohack Press
Release Date : 2025-02-28
Big Data Machine Learning And Data Mining Explained written by Chitrali Kaul and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Big Data, Machine Learning, and Data Mining Explained is an essential guide for understanding the world of big data, data mining, and machine learning. This book is perfect for students, professionals, and anyone eager to learn about these rapidly evolving technologies and their profound impact on our world. We provide comprehensive explanations of big data, data mining, and machine learning, making complex algorithms and models easy to understand. This book covers all key terms and processes, offering insights into how these technologies are transforming industries and markets. You'll also gain a glimpse into the future and understand the career opportunities in these fields. We delve into how big data is revolutionizing business practices, enhancing growth, and improving customer reach. Data mining techniques are explained in detail, showcasing how they help in decision-making and predicting trends. Furthermore, we explore machine learning, a branch of artificial intelligence, highlighting its role in processing data through advanced models and algorithms. Designed to be accessible and informative, Big Data, Machine Learning, and Data Mining Explained will help you navigate and thrive in this world of emerging technologies.
Processing And Managing Complex Data For Decision Support
DOWNLOAD
Author : Darmont, Jrme
language : en
Publisher: IGI Global
Release Date : 2006-03-31
Processing And Managing Complex Data For Decision Support written by Darmont, Jrme and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-31 with Computers categories.
"This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.
Elgar Encyclopedia Of Law And Data Science
DOWNLOAD
Author : Comandé, Giovanni
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-02-18
Elgar Encyclopedia Of Law And Data Science written by Comandé, Giovanni and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-18 with Law categories.
This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.
Early Detection Of Neurological Disorders Using Machine Learning Systems
DOWNLOAD
Author : Paul, Sudip
language : en
Publisher: IGI Global
Release Date : 2019-06-28
Early Detection Of Neurological Disorders Using Machine Learning Systems written by Paul, Sudip and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Medical categories.
While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.