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CONCAT.SAS: A Macro for Concatenation of Grouped Multi-Record Narrative Text
CONCAT.SAS: A Macro for Concatenation of Grouped Multi-Record Narrative Text

... eliminated, this causes rutm~tive text to run together. Continuing with the above example, the resultant concatenated output (concnal7') would be ''Mary had a little lambits fleece was as white as snow". Note that "lamb" and "its" are run together, because all1railing blanks are deleted- thus produc ...
hosted application provider case study
hosted application provider case study

... TCS needed a strong, trusted partner to provide a fully outsourced solution to the application provider, so they reached out to Tata Communications to handle the infrastructure requirements. When combined with TCS’ application management expertise, the two companies could pitch the customer on the u ...
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... – Most printers and MFPs have access to hard disks and memory which can retain many gigabytes of confidential data, over long periods. Dependable safeguards must therefore be in place to ensure the safekeeping of sensitive corporate information. At Konica Minolta a number of overlapping and interme ...
Ensembles of α-Trees for Imbalanced Classification Problems
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... class distributions, but also in the increased importance of the minority class. Despite their frequent occurrence and huge impact in day-to-day applications, the imbalance issue is not properly addressed by many standard machine-learning algorithms, since they assume either balanced class distribut ...
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Data Clustering for Forecasting - MIT Center for Digital Business
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Passing the Baton to Fiscal Policy
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... estimates. Because it typically requires less mathematical skill and fewer computational resources and doesn’t require the selection of Contingencies  |  JAN/FEB.08    41 ...
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... choosing the right type of database for your specific needs are critical decisions that can have long term impact upon your eDiscovery projects, organization and clients. Hence, it’s key to identify your business, technology and end-user / administrator goals inside and outside of the system, then t ...
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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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