Structured Search for Big Data Book

Structured Search for Big Data


  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-08-26
  • Genre: Computers
  • Pages : 114
  • ISBN 10 : 9780128046524

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Structured Search for Big Data Excerpt :

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Big Data Analytics for Large Scale Multimedia Search Book

Big Data Analytics for Large Scale Multimedia Search


  • Author : Stefanos Vrochidis
  • Publisher : John Wiley & Sons
  • Release Date : 2019-03-18
  • Genre: Technology & Engineering
  • Pages : 376
  • ISBN 10 : 9781119377009

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Big Data Analytics for Large Scale Multimedia Search Excerpt :

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Semantic Keyword Based Search on Structured Data Sources Book

Semantic Keyword Based Search on Structured Data Sources


  • Author : Andrea Calì
  • Publisher : Springer
  • Release Date : 2017-02-13
  • Genre: Computers
  • Pages : 197
  • ISBN 10 : 9783319536408

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Semantic Keyword Based Search on Structured Data Sources Excerpt :

This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.

Big Data For Dummies Book

Big Data For Dummies


  • Author : Judith S. Hurwitz
  • Publisher : John Wiley & Sons
  • Release Date : 2013-04-02
  • Genre: Computers
  • Pages : 336
  • ISBN 10 : 9781118644171

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Big Data For Dummies Excerpt :

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.

Structured Search for Big Data Book

Structured Search for Big Data


  • Author : Mikhail Gilula
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-08-28
  • Genre: Uncategoriezed
  • Pages : 114
  • ISBN 10 : 0128046317

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Structured Search for Big Data Excerpt :

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Big Data For Small Business For Dummies Book

Big Data For Small Business For Dummies


  • Author : Bernard Marr
  • Publisher : John Wiley & Sons
  • Release Date : 2016-01-05
  • Genre: Business & Economics
  • Pages : 256
  • ISBN 10 : 9781119027034

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Big Data For Small Business For Dummies Excerpt :

Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.

Big Data Analytics for Large Scale Multimedia Search Book

Big Data Analytics for Large Scale Multimedia Search


  • Author : Stefanos Vrochidis
  • Publisher : John Wiley & Sons
  • Release Date : 2019-05-28
  • Genre: Technology & Engineering
  • Pages : 372
  • ISBN 10 : 9781119376972

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Big Data Analytics for Large Scale Multimedia Search Excerpt :

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Challenges and Opportunities for the Convergence of IoT  Big Data  and Cloud Computing Book

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing


  • Author : Velayutham, Sathiyamoorthi
  • Publisher : IGI Global
  • Release Date : 2021-01-29
  • Genre: Computers
  • Pages : 350
  • ISBN 10 : 9781799831136

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Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing Excerpt :

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Big Data in Complex Systems Book

Big Data in Complex Systems


  • Author : Aboul Ella Hassanien
  • Publisher : Springer
  • Release Date : 2015-01-02
  • Genre: Technology & Engineering
  • Pages : 499
  • ISBN 10 : 9783319110561

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Big Data in Complex Systems 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.

Engineering the Web in the Big Data Era Book

Engineering the Web in the Big Data Era


  • Author : Philipp Cimiano
  • Publisher : Springer
  • Release Date : 2015-06-09
  • Genre: Computers
  • Pages : 733
  • ISBN 10 : 9783319198903

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Engineering the Web in the Big Data Era Excerpt :

This book constitutes the refereed proceedings of the 15th International Conference on Web Engineering, ICWE 2015, held in Rotterdam, The Netherlands, in June 2015. The 26 full research papers, 11 short papers, 7 industry papers, 11 demonstrations, 6 posters and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 2 tutorials are presented. The papers focus on eight tracks, namely Web application modeling and engineering; mobile Web applications; social Web applications; semantic Web applications; quality and accessibility aspects of Web applications; Web applications composition and mashups; Web user interfaces; security and privacy in Web applications.

Big Data     BigData 2022 Book

Big Data BigData 2022


  • Author : Bo Hu
  • Publisher : Springer Nature
  • Release Date : 2022-12-09
  • Genre: Computers
  • Pages : 101
  • ISBN 10 : 9783031235016

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Big Data BigData 2022 Excerpt :

This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.

Cognitive Computing for Big Data Systems Over IoT Book

Cognitive Computing for Big Data Systems Over IoT


  • Author : Arun Kumar Sangaiah
  • Publisher : Springer
  • Release Date : 2017-12-30
  • Genre: Technology & Engineering
  • Pages : 375
  • ISBN 10 : 9783319706887

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Cognitive Computing for Big Data Systems Over IoT Excerpt :

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Neural Search   From Prototype to Production with Jina Book

Neural Search From Prototype to Production with Jina


  • Author : Bo Wang
  • Publisher : Packt Publishing Ltd
  • Release Date : 2022-10-14
  • Genre: Computers
  • Pages : 188
  • ISBN 10 : 9781801818803

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Neural Search From Prototype to Production with Jina Excerpt :

Implement neural search systems on the cloud by leveraging Jina design patterns Key Features Identify the different search techniques and discover applications of neural search Gain a solid understanding of vector representation and apply your knowledge in neural search Unlock deeper levels of knowledge of Jina for neural search Book Description Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning–powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What you will learn Understand how neural search and legacy search work Grasp the machine learning and math fundamentals needed for neural search Get to grips with the foundation of vector representation Explore the basic components of Jina Analyze search systems with different modalities Uncover the capabilities of Jina with the help of practical

Social Networks and Questions of Big Data  Graph search for communities with corresponding keywords Book

Social Networks and Questions of Big Data Graph search for communities with corresponding keywords


  • Author : Andrea Attwenger
  • Publisher : GRIN Verlag
  • Release Date : 2017-06-27
  • Genre: Computers
  • Pages : 5
  • ISBN 10 : 9783668471757

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Social Networks and Questions of Big Data Graph search for communities with corresponding keywords Excerpt :

Seminar paper from the year 2017 in the subject Computer Science - Internet, New Technologies, grade: 1.3, LMU Munich (Institut für Informatik), course: Recent Developments in Data Science, language: English, abstract: This essay deals with a graph search for communities with corresponding keywords. The era of big data and world-spanning social networks has highlighted the necessity of ways to make sense of this vast amount of information. Data can be arranged in a graph of connected vertices, therefore giving it a basic structure. If the vertices are further described by keywords, the structure is called an attributed graph. This paper discusses a query algorithm that scans these attributed graphs for communities that are not only structurally linked - therefore forming subgraphs - but also share the same keywords. This method might give new insights into the composition of large networks, highlight interesting connections and give opportunities for effectively targeted marketing. As a specific use case, the idea of the attributed community query is applied to the example of a film recommendation program.

Big Data Management  Technologies  and Applications Book

Big Data Management Technologies and Applications


  • Author : Hu, Wen-Chen
  • Publisher : IGI Global
  • Release Date : 2013-10-31
  • Genre: Computers
  • Pages : 342
  • ISBN 10 : 9781466647008

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Big Data Management Technologies and Applications Excerpt :

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.