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Example: Data Mining for the NBA - The University of Texas at Dallas
Example: Data Mining for the NBA - The University of Texas at Dallas

... flight school; but des not care about takeoff or landing ...
Abstract - LetsDoProject
Abstract - LetsDoProject

... The proliferation and ever-increasing capabilities of mobile devices such as smart phones give rise to a variety of mobile sensing applications. This paper studies how an untrusted aggregator in mobile sensing can periodically obtain desired statistics over the data contributed by multiple mobile us ...
Chapter 4 Product Design
Chapter 4 Product Design

... Product design addresses the external structure of the software  External structure includes all software components that interact with external resources, such as ...
RAID 2
RAID 2

... 4. Make sure that all employees-as well as executives-are involved in the exercises so that they get practice in responding to an emergency. 5. Make exercises realistic enough to tap into employees' emotions so that you can see how they'll react when the situation gets stressful. 6. Practice crisis ...
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- University of Kufa

... For surveying the problem of improving decision tree classification algorithm for large data sets, several algorithms have been developed for building DTs of large data sets. Kohavi& John 1995 [5], searched for parameter settings of C4.5 decision trees that would result in optimal performance on a p ...
View PDF
View PDF

... training and only one from the various neurons has to react4. Hence extra structure can be built-in the network so that the net is forced to make a decision as to which one unit will respond. The method by which only one unit is chosen to react is called competition. The frequently used competition ...
The essential skills to succeed in a GIS career
The essential skills to succeed in a GIS career

... Linux machine, or a desktop application to a server based one). An ability to traverse between online and offline worlds is a valuable asset to have. Detail oriented: This needs no explanation, but in the GIS world, detail oriented can get you very far. The quality of your work will show (especially ...
Epidemiologic Research Using Administrative Databases
Epidemiologic Research Using Administrative Databases

... demographic information, drug dispensing, provider visits, and hospitalization. Examples of administrative databases often used by researchers include Medicare, Medicaid, and those of health maintenance organizations such as Kaiser Permanente. Vital records, such as birth certificates, represent ano ...
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Statistical Learning
Statistical Learning

... want is P(Y|X), why bother with P(Y,X) which is after all P(Y|X) *P(X) and thus models the dependencies between X’s also? • Since we don’t need to model dependencies among X, we don’t need to make any independence assumptions among them. So, we can merrily use highly correlated features.. ...
Dipartimento di Scienze e Tecnologie Chimiche e dei
Dipartimento di Scienze e Tecnologie Chimiche e dei

... organism. Mathematical models based on the results of this research have been proposed to identify modules which are, by definition, a discrete entity whose function is separable from those of other modules. In order to understand the dynamic processes behind the modules behavior we need to combine ...
Magellan: Toward Building Entity Matching Management Systems
Magellan: Toward Building Entity Matching Management Systems

... for this stage in isolation, within a stand-alone system, as current work has done, we would need to somehow provide a powerful data analysis environment, in order for these tools to be effective. This is clearly very difficult to do. So instead, we propose that tools for the development stage be de ...
Hadoop MapReduce and Spark
Hadoop MapReduce and Spark

... Colorado, USA. Each example contains several features describing each parcel of land, like its elevation, slope, distance to water, shade, and soil type, along with the known forest type covering the land. The forest cover type is to be predicted from the rest of the features, of which there are 54 ...
Headline Runs Here and Here and Here with SAP® Solution
Headline Runs Here and Here and Here with SAP® Solution

... more sales, and therefore higher revenues.  Eliminating errors. By having accessible data at all times, it helped us make informed decisions and eliminate errors in pricing or product development.  Unified system that simplifies complicated business processes. Our product line is complicated and m ...
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... FAT – only supports up to 4GB files and its volume tops out at 2TB in size. NTFS – supports up to 16EB (exabytes really bloody big) meaning that uncompressed videos and data can be stored. Back to FAT stuff Files are stored in one or more clusters, these clusters are unlikely to be next to each othe ...
Introduction - Department of Computer Science and Engineering
Introduction - Department of Computer Science and Engineering

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Understanding Data-Structures in a Systems Analysis
Understanding Data-Structures in a Systems Analysis

... database tables. When creating an output, several data structures from various files or database tables may be combined. The data flow diagramming technique (Gane & Sarson, 1979) is commonly used in the systems analysis phase of an SDLC to understand the business processes of a system. Once the busi ...
Holographic Data Storage Technology.pdf
Holographic Data Storage Technology.pdf

... may have a lot in common with CD/DVD drives, particularly if the form factor and data structure of the media is similar to that of CD or DVD. However, there are a number of notable differences that must be taken into account when designing such a drive, including: ...
Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS® System
Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS® System

... the complex requirements of this type of biomedical information system. Nevertheless, it is the simple requirements that pose a challenge to exclusive reliance on SAS software solutions to biomedical requirements. In particular, querying and cross-referencing data are functions which stretch SAS to ...
Multi-Relational Data Mining
Multi-Relational Data Mining

... – browsers that are richer and more interactive – improved search tools to explore and access complex and unstructured information on the Web ...
Kapitel 13 - uni
Kapitel 13 - uni

... deductive processing of constraint sets into inference modules and relational queries ...
Data Stream Management Systems - Department of Information
Data Stream Management Systems - Department of Information

... – Since only windows of elements are joined rather than entire stream • In a relational database all elements in tables are matched in a join – Often approximate summaries of streaming data maintained • E.g. moving average, standard deviation, max, min • The summaries also become dynamic streams! ...
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No Small Potatoes. Using Shopper ID Level Models to Measure the Impact of Targeted Marketing for a Popular Potato Product
No Small Potatoes. Using Shopper ID Level Models to Measure the Impact of Targeted Marketing for a Popular Potato Product

... With tens of millions of dollars at stake, brand managers often resort to statistical models to help make decisions on how to spend their marketing budgets. Most of these models are specified with data at either the market or store level. However, even thought they traditionally have measured market ...
Understanding Evaluation
Understanding Evaluation

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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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