Algorithms For Big Data, Feldman Moran

Автор: Binxing Fang, Jia-Yan Yao
Название: [Set Online Social Network Analysis, Vol 1-3]
ISBN: 311062656X ISBN-13(EAN): 9783110626568
Издательство: Walter de Gruyter
Цена: 259100.00 T
Наличие на складе: Нет в наличии.

Автор: Binxing Fang, Yan Jia
Название: Information and Communication
ISBN: 3110597845 ISBN-13(EAN): 9783110597844
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.

Автор: Binxing Fang, Yan Jia
Название: Groups and Interaction
ISBN: 3110597772 ISBN-13(EAN): 9783110597776
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

Автор: David Loshin
Название: Big Data Analytics,
ISBN: 0124173195 ISBN-13(EAN): 9780124173194
Издательство: Elsevier Science
Рейтинг:
Цена: 26940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.

Автор: Grolemund Garrett, Wickham Hadley
Название: R for Data Science
ISBN: 1491910399 ISBN-13(EAN): 9781491910399
Издательство: Wiley
Рейтинг:
Цена: 46450.00 T
Наличие на складе: Невозможна поставка.
Описание: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.

Автор: Guojun Gan
Название: Data Clustering: Theory, Algorithms, and Applications
ISBN: 0898716233 ISBN-13(EAN): 9780898716238
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 112860.00 T
Наличие на складе: Невозможна поставка.
Описание: Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, centre-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733943 ISBN-13(EAN): 9781681733944
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 102570.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: S. Dash, B.K. Tripathy
Название: Data Clustering and Image Segmentation Through Genetic Algorithms: Emerging Research and Opportunities
ISBN: 1522563199 ISBN-13(EAN): 9781522563198
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 189420.00 T
Наличие на складе: Невозможна поставка.
Описание: As computers are being used more and more to solve complex problems, the application of biology or natural evolution principles to the study and design of human systems helps provide efficient optimization algorithms.

Data Clustering and Image Segmentation Through Genetic Algorithms: Emerging Research and Opportunities is an essential reference source that discusses applications of bio-inspired algorithms in data mining, computer vision, image processing, and pattern recognition, as well as methods of designing competent algorithms based on decomposition principles. Featuring research on topics such as cluster analysis, metaheuristic optimization, and image processing, this book is ideally designed for IT professionals, computer engineers, researchers, academicians, and upper-level students seeking coverage on how to develop efficient clustering algorithms.

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Non-linear Data Structures and Data Processing
ISBN: 3110676052 ISBN-13(EAN): 9783110676051
Издательство: Walter de Gruyter
Цена: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.

Автор: Binxing Fang, Yan Jia
Название: Structure and Evolution
ISBN: 3110596067 ISBN-13(EAN): 9783110596069
Издательство: Walter de Gruyter
Рейтинг:
Цена: 107790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Data structures based on linear relations
ISBN: 3110595575 ISBN-13(EAN): 9783110595574
Издательство: Walter de Gruyter
Цена: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.