Mining Intelligence and Knowledge Exploration, Adrian Groza; Rajendra Prasath

Автор: Rajendra Prasath; Alexander Gelbukh
Название: Mining Intelligence and Knowledge Exploration
ISBN: 3319581295 ISBN-13(EAN): 9783319581293
Издательство: Springer
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Цена: 46570.00 T
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Описание: Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.

Автор: Rajendra Prasath; Philip O`Reilly; T. Kathirvalava
Название: Mining Intelligence and Knowledge Exploration
ISBN: 3319138162 ISBN-13(EAN): 9783319138169
Издательство: Springer
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Цена: 59630.00 T
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Описание: The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.

Автор: Rajendra Prasath; Anil Kumar Vuppala; T. Kathirval
Название: Mining Intelligence and Knowledge Exploration
ISBN: 3319268317 ISBN-13(EAN): 9783319268316
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book constitutes the refereed proceedings of theThird International Conference on Mining Intelligence and KnowledgeExploration, MIKE 2015, held in Hyderabad, India, in December 2015. The 48 full papers and 8 short papers presented togetherwith 4 doctoral consortium papers were carefully reviewed and selected from 185submissions.

Автор: Rajendra Prasath; T. Kathirvalavakumar
Название: Mining Intelligence and Knowledge Exploration
ISBN: 3319038435 ISBN-13(EAN): 9783319038438
Издательство: Springer
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Цена: 93160.00 T
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Описание: The papers cover the topics such as feature selection, classification, clustering, image processing, network security, speech processing, machine learning, information retrieval, recommender systems, natural language processing, language, cognition and computation and other certain problems in dynamical systems.

Автор: Ghosh
Название: Mining Intelligence and Knowledge Exploration
ISBN: 3319719270 ISBN-13(EAN): 9783319719276
Издательство: Springer
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Цена: 46570.00 T
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Описание: The papers were grouped into various subtopics including arti ficial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.

Автор: Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
Название: Data Exploration Using Example-Based Methods
ISBN: 1681734575 ISBN-13(EAN): 9781681734576
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
Наличие на складе: Невозможна поставка.
Описание: Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicated declarative languages (such as SQL) and mechanisms, while at the same time retaining the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or analyst, circumvents query languages by using examples as input. An example is a representative of the intended results or, in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind but may not be able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when they are performing a particularly challenging task like finding duplicate items, or when they are simply exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how different data types require different techniques and present algorithms that are specifically designed for relational, textual, and graph data. The book also presents the challenges and new frontiers of machine learning in online settings that have recently attracted the attention of the database community. The book concludes with a vision for further research and applications in this area.

Автор: Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
Название: Data Exploration Using Example-Based Methods
ISBN: 1681734559 ISBN-13(EAN): 9781681734552
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 66530.00 T
Наличие на складе: Невозможна поставка.
Описание: Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicated declarative languages (such as SQL) and mechanisms, while at the same time retaining the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or analyst, circumvents query languages by using examples as input. An example is a representative of the intended results or, in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind but may not be able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when they are performing a particularly challenging task like finding duplicate items, or when they are simply exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how different data types require different techniques and present algorithms that are specifically designed for relational, textual, and graph data. The book also presents the challenges and new frontiers of machine learning in online settings that have recently attracted the attention of the database community. The book concludes with a vision for further research and applications in this area.

Автор: Gelfond, M. and Kahl, Y.
Название: Knowledge Representation, Reasoning, and the Design of Intelligent Agents
ISBN: 1107029562 ISBN-13(EAN): 9781107029569
Издательство: Cambridge Academ
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Цена: 53850.00 T
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Описание: This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Автор: Hanako Akira
Название: Artificial Intelligence and Knowledge Management
ISBN: 1682851826 ISBN-13(EAN): 9781682851821
Издательство: Неизвестно
Цена: 166290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence and knowledge management have transformed the process of knowledge circulation and database management in different business enterprises and corporate organizations. Some of the significant topics discussed in the chapters of this book are AI planning strategies and tools, AI tools for information processing, data mining, knowledge-based systems, etc. It explores the innovative concepts and advancements in these emerging fields. The book is an invaluable source of knowledge for students and researchers involved in this field at various levels.

Автор: Tecuci
Название: Knowledge Engineering
ISBN: 1107122562 ISBN-13(EAN): 9781107122567
Издательство: Cambridge Academ
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Цена: 78150.00 T
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Описание: This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education.

Название: Machine intelligence and knowledge engineering for robotic applications
ISBN: 3642873898 ISBN-13(EAN): 9783642873898
Издательство: Springer
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Цена: 74490.00 T
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Описание: Proceedings of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications held at Maratea, Italy, May 12-16, 1986

Автор: Bo G?ranzon; Ingela Josefson
Название: Knowledge, Skill and Artificial Intelligence
ISBN: 354019519X ISBN-13(EAN): 9783540195191
Издательство: Springer
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Цена: 81050.00 T
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Описание: Issues raised by the Theory of Knowledge, a central theme in the development of Artificial Intelligence, are the main topic of this book. Case studies form the basis for philosophical reflections with the main concept of tacit knowledge as the central issue of skill and new technology.