Big Data And Visual Analytics

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Big Data and Visual Analytics

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Author by : Sang C. Suh
Languange Used : English, France, Spanish, Italia and chinese
Page : 263
Isbn : 331963917X
Identifier : 9783319639178
Release : 2018-01-15
Publisher by : Springer
Category : Computers
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Description : Read Now Big Data And Visual Analytics by Sang C. Suh and you can download with pub, pdf, txt, doc, and more file format with free account. this book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. the authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. every chapter includes a description of an unique contribution to the area of big data and visual analytics. this book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

Big Data With SAS Visual Analytics

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Author by : Cesar Lopez Perez
Languange Used : English, France, Spanish, Italia and chinese
Page : 162
Isbn : 9781494941581
Identifier : 1494941589
Release : 2014-01
Publisher by : CreateSpace
Category : Computers
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Description : Read Now Big Data With Sas Visual Analytics by Cesar Lopez Perez and you can download with pub, pdf, txt, doc, and more file format with free account. is known as big data the treatment and analysis of large amounts of data, whose size makes it impossible to treat them with databases and conventional analytical tools. the proliferation of web pages, applications, image and video, social networks, mobile devices, apps, sensors and other modern devices capable of generating huge amounts of data have necessitated the development of big data tools for analysis. we talk about an absolutely relevant environment for many aspects, from the analysis of phenomena, such as climate or seismographic data, to environments such as health, safety, or, of course, the business field. as for big data tools, there is a growing development. oracle uses exadata for these purposes, sas uses visual analytics and open-source hadoop, a framework that is highly popular in this field that enables applications to work with huge repositories of data and thousands of nodes, inspired by google tools like mapreduce and google file system, or nosql, non-relational database systems needed to hold and process the enormous complexity of all data generated highlights, and in many cases do not follow the logic of the acid (atomicity, consistency, isolation, durability) guarantees characteristic of conventional databases. this book delves into the treatment of the techniques of big data with sas visual analytics application

Special Issue on Big Data Visual Analytics

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Author by : no defined
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn :
Identifier : OCLC:1052068745
Release : 2017
Publisher by : no defined
Category :
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Immersive Analytics

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Author by : Kim Marriott
Languange Used : English, France, Spanish, Italia and chinese
Page : 357
Isbn : 303001388X
Identifier : 9783030013882
Release : 2018-10-15
Publisher by : Springer
Category : Computers
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Description : Read Now Immersive Analytics by Kim Marriott and you can download with pub, pdf, txt, doc, and more file format with free account. immersive analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. in addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.

Innovative Approaches of Data Visualization and Visual Analytics

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Author by : Huang, Mao Lin
Languange Used : English, France, Spanish, Italia and chinese
Page : 464
Isbn : 1466643102
Identifier : 9781466643109
Release : 2013-07-31
Publisher by : IGI Global
Category : Computers
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Description : Read Now Innovative Approaches Of Data Visualization And Visual Analytics by Huang, Mao Lin and you can download with pub, pdf, txt, doc, and more file format with free account. due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. innovative approaches of data visualization and visual analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. this book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.

Visual Analytics for the Big Data Era - A Comparative Review of State-of-the-Art Commercial Systems

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Author by : Leishi Zhang
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn :
Identifier : OCLC:960017210
Release : 2013
Publisher by : no defined
Category :
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Ontologies and Big Data Considerations for Effective Intelligence

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Author by : Lu, Joan
Languange Used : English, France, Spanish, Italia and chinese
Page : 632
Isbn : 1522520597
Identifier : 9781522520597
Release : 2017-02-08
Publisher by : IGI Global
Category : Computers
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Description : Read Now Ontologies And Big Data Considerations For Effective Intelligence by Lu, Joan and you can download with pub, pdf, txt, doc, and more file format with free account. across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. as such, it is imperative to research new methods and approaches to increase productivity in these areas. ontologies and big data considerations for effective intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

Visual Data Mining Theory, Techniques and Tools for Visual Analytics

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Author by : Simeon Simoff
Languange Used : English, France, Spanish, Italia and chinese
Page : 407
Isbn : 3540710809
Identifier : 9783540710806
Release : 2008-07-23
Publisher by : Springer
Category : Computers
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Description : Read Now Visual Data Mining by Simeon Simoff and you can download with pub, pdf, txt, doc, and more file format with free account. visual data mining—opening the black box knowledge discovery holds the promise of insight into large, otherwise opaque datasets. thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. there have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestigated commercially? certainly, there have been arguments for visual data 2 mining for a number of years – ankerst and others argued in 2002 that current (autonomous and opaque) analysis techniques are ine?cient, as they fail to - rectly embed the user in dataset exploration and that a better solution involves the user and algorithm being more tightly coupled. grinstein stated that the “current state of the art data mining tools are automated, but the perfect data mining tool is interactive and highly participatory,” while han has suggested that the “data selection and viewing of mining results should be fully inter- tive, the mining process should be more interactive than the current state of the 2 art and embedded applications should be fairly automated . ” a good survey on 3 techniques until 2003 was published by de oliveira and levkowitz .

Visual Analytics of Movement

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Author by : Gennady Andrienko
Languange Used : English, France, Spanish, Italia and chinese
Page : 387
Isbn : 3642375839
Identifier : 9783642375835
Release : 2013-09-20
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Visual Analytics Of Movement by Gennady Andrienko and you can download with pub, pdf, txt, doc, and more file format with free account. many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. today the widespread use of mobile phones and technologies like gps and rfid provides an immense amount of data on location and movement. what is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes. this is exactly the topic of this book. as the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today. the authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. with this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. in so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results. in summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.

2017 International Symposium on Big Data Visual Analytics (BDVA)

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Author by : IEEE Staff
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn : 9781538607824
Identifier : 1538607824
Release : 2017-11-07
Publisher by : no defined
Category :
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Description : Read Now 2017 International Symposium On Big Data Visual Analytics Bdva by IEEE Staff and you can download with pub, pdf, txt, doc, and more file format with free account. in the last decade, big data analytics has become a major decision support factor in industry and government organisations visual analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human computer interaction, perception and cognition, is critical for visual analytics to be effectively deployed the aim of bdva is to bring together international experts to address cutting edge scientific problems from all relevant areas of big data visual analytics bdva will host an exciting programme with internationally renowned keynote speakers, special sessions, and a day of complimentary hands on workshops tutorials

Applications of Big Data Analytics Trends, Issues, and Challenges

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Author by : Mohammed M. Alani
Languange Used : English, France, Spanish, Italia and chinese
Page : 214
Isbn : 3319764721
Identifier : 9783319764726
Release : 2018-07-23
Publisher by : Springer
Category : Computers
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Description : Read Now Applications Of Big Data Analytics by Mohammed M. Alani and you can download with pub, pdf, txt, doc, and more file format with free account. this timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. an authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. this is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. the text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. topics and features: discusses a model for data traffic aggregation in 5g cellular networks, and a novel scheme for resource allocation in 5g networks with network slicing explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants describes a system which leverages big data analytics and the internet of things in the application of drones to aid victims in disaster scenarios proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders reviews techniques for educational data mining and learning analytics, and introduces a scalable mapreduce graph partitioning approach for high degree vertices presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment this practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. dr. mohammed m. alani is an associate professor in computer engineering and currently is the provost at al khawarizmi international college, abu dhabi, uae. dr. hissam tawfik is a professor of computer science in the school of computing, creative technologies & engineering at leeds beckett university, uk. dr. mohammed saeed is a professor in computing and currently is the vice president for academic affairs and research at the university of modern sciences, dubai, uae. dr. obinna anya is a research staff member at ibm research – almaden, san jose, ca, usa.

Next-Generation Big Data A Practical Guide to Apache Kudu, Impala, and Spark

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Author by : Butch Quinto
Languange Used : English, France, Spanish, Italia and chinese
Page : 557
Isbn : 1484231473
Identifier : 9781484231470
Release : 2018-06-12
Publisher by : Apress
Category : Computers
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Description : Read Now Next Generation Big Data by Butch Quinto and you can download with pub, pdf, txt, doc, and more file format with free account. utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. next-generation big data takes a holistic approach, covering the most important aspects of modern enterprise big data. the book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. finally, the book has an extensive and detailed coverage of big data case studies from navistar, cerner, british telecom, shopzilla, thomson reuters, and mastercard. what you’ll learn install apache kudu, impala, and spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice integrate hbase, solr, oracle, sql server, mysql, flume, kafka, hdfs, and amazon s3 with apache kudu, impala, and spark use streamsets, talend, pentaho, and cdap for real-time and batch data ingestion and processing utilize trifacta, alteryx, and datameer for data wrangling and interactive data processing turbocharge spark with alluxio, a distributed in-memory storage platform deploy big data in the cloud using cloudera director perform real-time data visualization and time series analysis using zoomdata, apache kudu, impala, and spark understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use cloudera navigator to perform common data governance tasks implement big data use cases such as big data warehousing, data warehouse optimization, internet of things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling study real-world big data case studies from innovative companies, including navistar, cerner, british telecom, shopzilla, thomson reuters, and mastercard who this book is for bi and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using apache kudu, impala, and spark; and those who want to learn more about other advanced enterprise topics