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Extracting Knowledge From Opinion Mining, Rashmi Agrawal, Neha Gupta


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Цена: 32848.00р.
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Автор: Rashmi Agrawal, Neha Gupta
Название:  Extracting Knowledge From Opinion Mining
ISBN: 9781522561170
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 152256117X
Обложка/Формат: Hardcover
Страницы: 335
Вес: 0.87 кг.
Дата издания: 30.10.2018
Серия: Computing & IT
Язык: English
Размер: 254 x 178 x 22
Читательская аудитория: Professional and scholarly
Ключевые слова: Information technology: general issues,Data mining, COMPUTERS / General,COMPUTERS / Databases / General,COMPUTERS / Databases / Data Mining
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Поставляется из: Англии
Описание: Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining.Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.


Автор: Lemahieu Wilfried
Название: Principles of Database Management
ISBN: 1107186129 ISBN-13(EAN): 9781107186125
Издательство: Cambridge Academ
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Цена: 9821.00 р.
Наличие на складе: Есть (1 шт.)
Описание: A theory-practice focused text that teaches fundamentals of database management, design, modeling, Big Data, analytics, and more. Real-world examples, query walkthroughs, illustrations and case studies, make this perfect for introductory courses for advanced undergraduates or graduate students in information systems or computer science.

Biologically-Inspired Techniques For Knowledge Discovery And Data Mining

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 27251.00 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Knowledge Transfer between Computer Vision and Text Mining

Автор: Radu Tudor Ionescu; Marius Popescu
Название: Knowledge Transfer between Computer Vision and Text Mining
ISBN: 3319303651 ISBN-13(EAN): 9783319303659
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Нет в наличии.

Описание: This ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification.

Advances in Knowledge Discovery and Data Mining

Автор: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319066072 ISBN-13(EAN): 9783319066073
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. They cover the general fields of pattern mining; graph and network mining; biomedical data mining; and unstructured data and text mining.

Trends and Applications in Knowledge Discovery and Data Mining

Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319672738 ISBN-13(EAN): 9783319672731
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1461426138 ISBN-13(EAN): 9781461426134
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Signal Processing Techniques for Knowledge Extraction and Information Fusion

Автор: Danilo Mandic; Martin Golz; Anthony Kuh; Dragan Ob
Название: Signal Processing Techniques for Knowledge Extraction and Information Fusion
ISBN: 1441944958 ISBN-13(EAN): 9781441944955
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion.

Prominent Feature Extraction for Sentiment Analysis

Автор: Basant Agarwal; Namita Mittal
Название: Prominent Feature Extraction for Sentiment Analysis
ISBN: 3319253417 ISBN-13(EAN): 9783319253411
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

1 Introduction

2 Literature Survey

3 Machine Learning Approach for Sentiment Analysis

4 Semantic Parsing using Dependency Rules

5 Sentiment Analysis using ConceptNet Ontology and Context

Information

6 Semantic Orientation based Approach for Sentiment Analysis

7 Conclusions and FutureWork

References

Glossary
Index

Multi-source, Multilingual Information Extraction and Summarization

Автор: Thierry Poibeau; Horacio Saggion; Jakub Piskorski;
Название: Multi-source, Multilingual Information Extraction and Summarization
ISBN: 3642430902 ISBN-13(EAN): 9783642430909
Издательство: Springer
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Цена: 13270.00 р.
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Описание: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form.

Data Mining and Knowledge Discovery for Geoscientists

Автор: Guangren Shi
Название: Data Mining and Knowledge Discovery for Geoscientists
ISBN: 0124104371 ISBN-13(EAN): 9780124104372
Издательство: Elsevier Science
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Цена: 15159.00 р.
Наличие на складе: Нет в наличии.

Описание: Addresses challenges by summarizing the developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. This title focuses on 22 of data mining`s practical algorithms and application samples.

Soft Computing for Knowledge Discovery and Data Mining

Автор: Oded Maimon; Lior Rokach
Название: Soft Computing for Knowledge Discovery and Data Mining
ISBN: 144194351X ISBN-13(EAN): 9781441943514
Издательство: Springer
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Цена: 12577.00 р.
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Описание:

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.

Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining. This edited volume by highly regarded authors, includes several contributors of the 2005, Data Mining and Knowledge Discovery Handbook. This book was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including manufacturing, medical, banking, insurance and others, but also includes various real-world case studies with detailed results.

Soft Computing for Knowledge Discovery and Data Mining is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a secondary textbook or reference for advanced-level students in information systems, engineering, computer science and statistics management.


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