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A Tutorial on Clustering Algorithms
A Tutorial on Clustering Algorithms

... idea is to define k centroids, one for each cluster. These centroids shoud be placed in a cunning way because of different location causes different result. So, the better choice is to place them as much as possible far away from each other. The next step is to take each point belonging to a given d ...
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The Evolution of Analytics
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... Machine Learning in the Analytic Landscape Machine learning first appeared in computer science research in the 1950s. So why, after all these decades, has it become so popular? The easy answer is that both the data storage and the data process‐ ing capacities have grown tremendously, to the point w ...
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... Third, Semantic Web database architecture is dynamic and automated. Each new document which is analyzed, extracted and stored in the Semantic Web expands the logical relationships in all earlier documents. These expanding logical relationships increase the understanding of content and context in eac ...
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... Document and prospectus, together with the latest audited annual report (and subsequent unaudited semi-annual report, if published), copies of which can be obtained, free of charge, from Schroder Investment Management (Luxembourg) S.A. The Company is a Luxembourg-registered UCITS recognised in the U ...
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Queries and Updates in the coDB Peer to Peer Database System
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... those tuples which are already in R, and get the set of tuples T ′ . If the conjunctive query in the head of the rule contains existential variables, then fresh new marked null values are used in tuples of T ′ . Then, T ′ is added to R. Incoming links, which are dependent on O, are computed by subst ...
An Investigation Into The Security Of Oracle 10g
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... View This Presentation to Answer the Following Questions: • How do I open a database? • What are the parts of the Access screen? • How can Access save my data? • How can I print data from a database? • What should I do before I close a database? ...
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... There are many technical implications that come with resource replication, or data replication as it will also be referred to. The main requirement in data replication is, that replicas should functionally behave like servers, that are not replicated. This strict requirement can not always be fulfi ...
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A Historical Dataset of Software Engineering Conferences
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... to which conferences to submit their work. To facilitate such tasks, we have included a number of example metrics and queries in the repository7 , out of which we illustrate two. Both are computed using a sliding window, to better control for differences in conference age. 1) PC Turnover: computed f ...
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... level of detail in the process. In this next step we will circle back through our dimensions and facts and put together a quick list of Attributes and Metrics that we require for our dimensional model this list allows you to get more specific about the needs of your dimensional model. Completing the ...
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... resampling is done at random. More details on this are given in Sec. ??.) The researcher writes up another memo to marketing: “The lifetime of any one bulb is random, but our best information is that the mean of 10 bulbs selected randomly from our production line will be between 1770 and 2840 hours, ...
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ERP System and Enterprise Architecture
ERP System and Enterprise Architecture

... the majority of business rules. This will require communication with the storage logic to retrieve additional data. Business transactions are processed in this component. Results from the processing are written to the storage logic. ...
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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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