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A database model for library material usage
A database model for library material usage

... 1. Library user data 2. Membership data 3. Library material usage data 4. Reminders sent to the library users 5. Statistics reports 6. User interface performances 7. User data archiving Library user data. A certain set of user’s data is necessary at the time when a user is registered. This data set ...
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... Directly probes details of the nuclear model (fermi motion, binding energy) to the level of 5 MeV. Weight MC events by the ratio of the electron scattering cross section to the neutrino scattering cross section for those kinematics. Use distributions that have radiative corrections already applied. ...
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... In this paper we analyze the apriori and FP-growth algorithm. It found that apriori algorithm takes more time to compute association rules, even both contain same number of transactions. FP-growth is much faster than apriori because there is no candidate generation, it uses compact data structure, i ...
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... consists in extracting the attributes of the complex object that has been selected by the user. A particular treatment is applied depending on the subdocument class (image, sound, etc.), since each subdocument class bears different attributes. We used three ways to extract the actual data: (1) manua ...
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What in the World?

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Field Visit to Learn About Drug Use

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No Slide Title

... • e.g. GPRS is a nice improvement over CSD, but if there are no applications that people find useful/interesting/value-adding, what good is either network by itself? The wireless networks enable • ubiquitous anytime/anywhere wireless access to applications and services • various types of communicati ...
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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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