Advances In Classification And Data Analysis
Download Advances In Classification And Data Analysis full books in PDF, epub, and Kindle. Read online free Advances In Classification And Data Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Krzystof Jajuga |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 468 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9783642561818 |
ISBN-13 |
: 3642561810 |
Rating |
: 4/5 (18 Downloads) |
Synopsis Classification, Clustering, and Data Analysis by : Krzystof Jajuga
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
Author |
: Chakraborty, Chinmay |
Publisher |
: IGI Global |
Total Pages |
: 448 |
Release |
: 2019-02-22 |
ISBN-10 |
: 9781522577973 |
ISBN-13 |
: 1522577971 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Advanced Classification Techniques for Healthcare Analysis by : Chakraborty, Chinmay
Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.
Author |
: Francesco Mola |
Publisher |
: |
Total Pages |
: 242 |
Release |
: 2018 |
ISBN-10 |
: 3319557092 |
ISBN-13 |
: 9783319557090 |
Rating |
: 4/5 (92 Downloads) |
Synopsis Classification, (big) Data Analysis and Statistical Learning by : Francesco Mola
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
Author |
: Sayan Mukhopadhyay |
Publisher |
: Apress |
Total Pages |
: 195 |
Release |
: 2018-03-29 |
ISBN-10 |
: 9781484234501 |
ISBN-13 |
: 1484234502 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Advanced Data Analytics Using Python by : Sayan Mukhopadhyay
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.
Author |
: Hans-Hermann Bock |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 404 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9783642763076 |
ISBN-13 |
: 3642763073 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Classification, Data Analysis, and Knowledge Organization by : Hans-Hermann Bock
In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.
Author |
: Henk A.L. Kiers |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 428 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9783642597893 |
ISBN-13 |
: 3642597890 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Data Analysis, Classification, and Related Methods by : Henk A.L. Kiers
This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap plications and overview papers in various fields within data analysis, classifi cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica concerning tions.
Author |
: Krzysztof Jajuga |
Publisher |
: Springer Nature |
Total Pages |
: 352 |
Release |
: 2021-06-28 |
ISBN-10 |
: 9783030751906 |
ISBN-13 |
: 3030751902 |
Rating |
: 4/5 (06 Downloads) |
Synopsis Data Analysis and Classification by : Krzysztof Jajuga
This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Author |
: Charu C. Aggarwal |
Publisher |
: CRC Press |
Total Pages |
: 710 |
Release |
: 2014-07-25 |
ISBN-10 |
: 9781498760584 |
ISBN-13 |
: 1498760589 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Data Classification by : Charu C. Aggarwal
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi
Author |
: Domenica Fioredistella Iezzi |
Publisher |
: Springer Nature |
Total Pages |
: 298 |
Release |
: 2020-11-24 |
ISBN-10 |
: 9783030526801 |
ISBN-13 |
: 3030526801 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Text Analytics by : Domenica Fioredistella Iezzi
Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.
Author |
: Maurizio Vichi |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 372 |
Release |
: 2006-05-06 |
ISBN-10 |
: 9783540273738 |
ISBN-13 |
: 3540273735 |
Rating |
: 4/5 (38 Downloads) |
Synopsis New Developments in Classification and Data Analysis by : Maurizio Vichi
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience.