Category «Data Mining»

Knowledge Engineering and Management: Proceedings of the

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With big data, analysts have not only more data to work with, but also the processing power to handle large numbers of records with many attributes, Hopkins says. ACM Transactions on Database Systems, 28(4):517--580, December 2003 G. Analytic Solver Platform does it all in Microsoft Excel, accessing data from PowerPivot and SQL databases. ModelMAX� accurately predicted a 47% response rate from the top segment of the combination model. � � Envision EMI, Inc. manages and markets programs designed to further the goals of high-achieving students�.

The Elements of Statistical Learning: Data Mining,

Robert Tibshirani

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A good working definition of big data solutions is: Technology capable of holding very large amounts of data. Depending on the forecast period, the absolute error for the neural network forecast model lies between 0.1% and 1.0%. They tested their system on a test case of a patient experiencing severe cough since starting Tarceva (a type of chemotherapy). DEX/Sparksee is a high performance and scalable graph database management system. Most analysis can be achieved through its visual programming interface (drag and drop of widgets) and most visual tools are supported including scatterplots, bar charts, trees, dendograms and heatmaps.

Statistical and Machine-Learning Data Mining: Techniques for

Bruce Ratner

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The greater the error the harsher the verbal correction. The main advantage of clustering over classification is that, it is adaptable to changes and helps single out useful features that distinguish different groups. Finally, data mining incorporated these tools into a systematic, iterative process. One among them most frequently quoted definition is from the Brundtland Report[1]: "Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs.

Process Mining: Discovery, Conformance and Enhancement of

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Almost half will die within five years, making it the most fatal cancer among children. It sounds simple, but the task of data mining has quickly overwhelmed traditional query-and-report methods of data analysis, creating the need for new tools to analyze databases and data warehouses intelligently. Association is like what it sounds like, to mine for different associations. Sessions are specifically tailored for developers and architects using the popular open source Spring IO Projects, Groovy & Grails, Cloud Foundry, RabbitMQ, Redis, Geode, Hadoop and Tomcat technologies.

Rough Set and Knowledge Technology: 5th International

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The strains involved were mostly identified to the species Klebsiella aerogenes and showed resistance to multiple antibiotics. Created in the 1980s and named from Monty Python’s Flying Circus, it has consistently ranked in the top ten most popular programming languages in the world. The rule R is pruned, if pruned version of R has greater quality than what was assessed on an independent set of tuples. They found that 135 non-diabetic people who had prescriptions for both of the drugs experienced an average increase in their random blood glucose levels of 19 mg/dl after beginning treatment.

Advances in Computational Algorithms and Data Analysis

Sio-Iong Ao

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Crandall says, "Our data sets can be 20 gigabytes of data per sample for hundreds of samples with downstream analyses generating 100's of gigabytes of data per sample." No late project will be accepted one week after the due date. They assigned potential swing state voters numbers of a scale of 1 to 100 in four metrics: the likelihood that they would support Mr. When implemented on high performance client/server or parallel processing computers, data mining tools can analyze massive databases to deliver answers to questions such as, "Which clients are most likely to respond to my next promotional mailing, and why?"

Algorithms from and for Nature and Life: Classification and

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With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. The product doesn’t change and simple marketing basket analysis can be very valuable, but what if the product will only exist for 3 months and never repeats? This is essentially deriving a conditional probability buying beer given buying diaper. Anish’s homepage contains more information.

Forecasting Offertory Revenue at St. Elizabeth Seton

Matthew J. Drake

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The analytics architectures and tools for structured and unstructured big data are very different from traditional business intelligence (BI) tools. Integrated Crop Management, 8:1--114, 2010. The industry appears to be moving away from the traditional approach of using specific media environments such as newspapers, magazines, or television shows and instead tap into consumers with technologies that reach targeted people at optimal times in optimal locations.

What Stays in Vegas: The World of Personal Data—Lifeblood of

Adam Tanner

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The study was carried out on one patient that had died at the age of 88, and as the patient had a pacemaker (which prevented the acquisition of MRI images while the patient was alive), all images of the brain were taken after death and compared to the histological study of the brain tissue using the author’s method. The computer giant was followed on the list by HP, Teradata, Dell and Oracle. These relational enterprise database packages are built and supported by companies such as Oracle, Microsoft, and IBM.

Intelligent Information and Database Systems: Third

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Constraints can be specified by the user or the application requirement. We derive formulae for an unbiased support estimator and its variance, which allow us to recover itemset supports from randomized datasets, and show how to incorporate these formulae into mining algorithms. For model fitting and validation, data mining also uses more general statistical methods that conduct automated searches for complex relationships and apply fresh data to tentative relationships. The expansion of individual-level data had made possible the kind of testing that could help do that.