June - 21 - 2015 ADD COMMENTS
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June - 12 - 2015 ADD COMMENTS
AP analysis: Companies 'adjust' profits more in their favor
Most of the time, the adjustments made companies look better by leaving out things like costs related to laying off workers, a decline in the value of patents or other "intangible" assets, the value of company stock distributed to employees, or losses …
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Rutgers University–Camden Appoints Michael Palis New Provost
Palis is internationally recognized for his research in algorithms and parallel and distributed computing, having served on the editorial boards of leading journals in the area including the IEEE Transactions on Parallel and Distributed Systems and the …
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May - 13 - 2015 ADD COMMENTS
Data-Driven Security: Analysis, Visualization and Dashboards
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You’ll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, thi
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May - 7 - 2015 ADD COMMENTS
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The First International Conference on Space, Time and CyberGIS Contact: lab dot cigi at gmail dot com or cigi-lab at mx dot uillinois dot edu.
Video Rating: 5 / 5
March - 1 - 2015 ADD COMMENTS
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February - 9 - 2015 ADD COMMENTS
Farmington Hills, Mich (PRWEB) November 17, 2014
Recognizing the benefit of data analysis for the digital humanities field, Gale, part of Cengage Learning, will make available content from its Gale Digital Collections to academic researchers for data mining and textual analysis purposes. Data mining and textual analysis – the process by which text or datasets are crawled by software that recognizes entities, relationships and action – helps researchers draw new conclusions among disparate data and is emerging as an important area of scholarly research.
“Gale is taking an important, industry-leading step by making content available for researchers in this way,” said Frank Menchaca, senior vice president for global product management at Gale. “Data mining coupled with our new curriculum alignment service, in which Gale maps an institution’s library resources to specific areas of faculty research and course focus, is helping our academic customers realize even more value for their investment with Gale.”
Gale will deliver content upon customer request and in a cost-effective manner for the use of data mining and textual analysis. Content from most Gale Digital Collections, including essential research databases like Eighteenth Century Collections Online and Nineteenth Century Collections Online, as well as content from Gale’s extensive newspaper archives and other collections will be made available. In addition to content, Gale is offering new textual analysis tools within the digital archives to assist researchers who may not have programming experience or digital humanities programs at their institution. “Term cluster” and “term frequency” tools will sort through the text and index terms from the content, generating visual displays of information to help researchers easily identify relationships between words and phrases.
For more information on the program, please register for Gale’s webcast “Data Mining and Text Analytics: Gale at the Forefront of Providing Content Set,” scheduled for Wednesday, Nov. 19th at 3pm EST.
For questions or to speak with a Gale spokesperson, please contact Kristina Massari at kristina.massari@cengage.com. Interested customer may also contact their Gale representative for more information.
About Cengage Learning and Gale
Cengage Learning is a leading educational content, technology and services company, empowering educators and driving learner engagement through personalized services and course-driven digital solutions that bridge from the library to the classroom. Gale, part of Cengage Learning, serves the world’s information and education needs through its vast and dynamic content pools, which are used by students and consumers in their libraries, schools and on the Internet. It is best known for the accuracy, breadth and convenience of its data, addressing all types of information needs – from homework help to health questions to business profiles – in a variety of formats. For more information, visit http://www.cengage.com or http://www.gale.cengage.com.
January - 14 - 2015 ADD COMMENTS
NRGene's Big Data Technology to Enable Maize Genome Analysis
NRGene, a leader in agricultural big data genomic analysis, and The International Maize and Wheat Improvement Centre (CIMMYT) are collaborating to generate the denovo genome assemblies of 20 tropical, subtropical, and highland maize genomes as …
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Big Data trends in Brazil for 2015
Until quite recently, many people in Brazil didn't know what Big Data was. Until 2013, the year Big Data went mainstream, there was very little understanding about the concept of data analytics and its applications, the technologies behind it and the …
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5 Analytics, BI, Data Management Trends For 2015
… published late last month based on responses from 384 business technology professionals. The two most important themes explored in the report are overcoming the complexity of analytics and BI tools and meeting the challenges of big-data analysis.
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January - 12 - 2015 ADD COMMENTS
Microsoft Excel 2013 Data Analysis and Business Modeling
Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Ex
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December - 3 - 2014 ADD COMMENTS
Enterprise big data: Analytics, analysis and the human touch
Following my recent blog on Big Data, one of my customers asked for advice on building predictive analytics. Surely, my customer said, the data scientists only need to be skilled statisticians who can understand the numbers that the analytics package …
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