Share

Analysis of Large and Complex Data

2016-08-03 Computers
Download Analysis of Large and Complex Data PDF Online Free

Author :
Release : 2016-08-03
Genre : Computers
Kind : eBook
Book Rating : 267/5 ( reviews)

GET EBOOK


Book Synopsis Analysis of Large and Complex Data by : Adalbert F.X. Wilhelm

Download or read book Analysis of Large and Complex Data written by Adalbert F.X. Wilhelm. This book was released on 2016-08-03. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.

Complex Data Analytics with Formal Concept Analysis

2023-07-01 Computers
Download Complex Data Analytics with Formal Concept Analysis PDF Online Free

Author :
Release : 2023-07-01
Genre : Computers
Kind : eBook
Book Rating : 800/5 ( reviews)

GET EBOOK


Book Synopsis Complex Data Analytics with Formal Concept Analysis by : Rokia Missaoui

Download or read book Complex Data Analytics with Formal Concept Analysis written by Rokia Missaoui. This book was released on 2023-07-01. Available in PDF, EPUB and Kindle. Book excerpt: 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

2015-01-02 Technology & Engineering
Download Big Data in Complex Systems PDF Online Free

Author :
Release : 2015-01-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 56X/5 ( reviews)

GET EBOOK


Book Synopsis Big Data in Complex Systems by : Aboul Ella Hassanien

Download or read book Big Data in Complex Systems written by Aboul Ella Hassanien. This book was released on 2015-01-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Complex Data Analytics with Formal Concept Analysis

2022-06-29 Computers
Download Complex Data Analytics with Formal Concept Analysis PDF Online Free

Author :
Release : 2022-06-29
Genre : Computers
Kind : eBook
Book Rating : 788/5 ( reviews)

GET EBOOK


Book Synopsis Complex Data Analytics with Formal Concept Analysis by : Rokia Missaoui

Download or read book Complex Data Analytics with Formal Concept Analysis written by Rokia Missaoui. This book was released on 2022-06-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining in Large Sets of Complex Data

2013-01-11 Computers
Download Data Mining in Large Sets of Complex Data PDF Online Free

Author :
Release : 2013-01-11
Genre : Computers
Kind : eBook
Book Rating : 908/5 ( reviews)

GET EBOOK


Book Synopsis Data Mining in Large Sets of Complex Data by : Robson Leonardo Ferreira Cordeiro

Download or read book Data Mining in Large Sets of Complex Data written by Robson Leonardo Ferreira Cordeiro. This book was released on 2013-01-11. Available in PDF, EPUB and Kindle. Book excerpt: 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.

You may also like...