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From data warehousing to data mining
From data warehousing to data mining

... allows the automated discovery of implicit patterns and interesting knowledge hidden in large amounts of data. OLAP tools are targeted toward simplifying and supporting interactive data analysis, but the goal of data mining tools is to automate as much of the process as possible, while still allowin ...
Essential Knowledge
Essential Knowledge

... A collection of fully-functional generic application packages sold together with some extra bits and pieces, produced by the same manufacturer, that fully interact with each other. Examples are MS Office 2000 (or XP) and Lotus Smartsuite. An example of an extra for MS-Office is MS–Query. This is the ...
Enterprise Data Classification Using Semantic Web Technologies
Enterprise Data Classification Using Semantic Web Technologies

... to the data when needed. For example, if in order to comply with a privacy regulation an organization is required to mask all Social Security Numbers (SSN), all the occurrences of SSN must be found. This reference implementation demonstrates the automatic discovery and classification of Personally ...
What is Optical Data Storage?
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... This innovation has the potential to provide petabyte-level (1024 TB) mass storage on DVD-sized disks. Current optical data storage media are the CD and DVD. They store data as a series of reflective marks on an internal surface of a disc. In order to increase storage capacity, two or even more of t ...
CRSP SURVIVOR-BIAS-FREE US MUTUAL FUND DATABASE JUNE 2008 QUARTERLY UPDATE X-CUT
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... Funds that have historically been in the CRSP database that do not match new sources were stripped from our subscriber database for further research. A more concerted effort to add the historical funds is currently underway and approximately 500 funds that were previously stripped from the database ...
csc4000w_2006_ii_notes_1
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MINING ASSOCIATION RULES USING THE THEORY OF
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... processing and analysis seemed quite utopian – nowadays the largest companies have to analyse terabytes of data, some of them have already reached petabytes. As the amount of data is growing day by day, it is also constantly raising the computational and analytical complexity of mining knowledge fro ...
Security and Assurance in IT organization
Security and Assurance in IT organization

... Intrusion: gain access to a company’s internal IT infrastructure by various methods. e.g. obtaining user names & passwords. Intruders can use high-tech ways such as using “sniffer” software for LANs, or exploiting computer codes to gain access to systems. Hackers can scan IP exploitable addresses to ...
NH Cost of Sprawl
NH Cost of Sprawl

... new developments such as residential subdivisions, commercial parks, and the like. Until recently, however, they have not always had the tools and information they needed to assess the financial and sustainability impacts a new subdivision would bring. Though municipalities are interested in alterna ...
Lecture 2 - The University of Texas at Dallas
Lecture 2 - The University of Texas at Dallas

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The New Data Pump - NOCOUG - Northern California Oracle
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DOC - Columbus State University
DOC - Columbus State University

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Chapter 6
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... An ICT system enables them to  List how many calls you have made, to which numbers and how long each call was  Total the number of minutes used and bill you for them  Total the amount of data you have transferred (usually in megabytes) and then bill you for that. ...
What Is a Dimensional Data Warehouse?
What Is a Dimensional Data Warehouse?

... stored for business analysis can most effectively be accessed by separating it from the data in the operational systems. Fundamental differences between operational and informational (DW) environment:  Nature of the data ...
A ransomware attack puts IT in a battle against the malware
A ransomware attack puts IT in a battle against the malware

... The result is almost instant access to data enabling users to get back to work quickly. What makes Rubrik unique in its response to Ransomware is how simple it makes the preparation phase. First, one purchase delivers both hardware and software, modernizing the backup architecture in one step. Secon ...
backu -a chive balance
backu -a chive balance

... Backup and archiving are in many ways focused on a similar goal — retaining data in order to make it accessible at a later date. That said, each is used for different purposes by different people. We typically back up data in order to help the organization achieve a positive operational impact — nam ...
Data Warehouse Cases - University of Houston
Data Warehouse Cases - University of Houston

... But the it is painfully inadequate when it comes to strategic decision support Information requests from the management must be dealt with individually by the IT staff Data aggregations are programmed into reports, but any comparisons across time or products must be done manually Data history in the ...
Advantages of the DMS500 MkII Fast Particle Mobility Size
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... aerosols, taking full account of particle losses, and even different particle morphologies thus preventing the drop in accuracy at larger sizes seen in some other analyzers. Calibration certificates are provided. ...
Diapositiva 1 - Istituto Nazionale di Fisica Nucleare
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... The complexity of the CMS Tracker (more than 50 million channels to monitor) now in construction in ten laboratories worldwide with hundreds of interested people, will require new tools for monitoring both the hardware and the software. In our approach we use both visualization tools and Grid servic ...
Week 11 data collection meters and inst
Week 11 data collection meters and inst

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Improving Weather Forecasts with A Nationwide Network of Networks George Frederick
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... – Provide to Chapter members a NNoN web page with links to their own web sites along with other commercial market development initiatives. – Promote to the private sector the existence, and mission of the NNoN initiative. – Promote the expansion of the scientific exploration and use of NNoN data. – ...
ADONET Objects Part II
ADONET Objects Part II

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Description and Computer Modelling of Patterns in Sedimentary
Description and Computer Modelling of Patterns in Sedimentary

... seismic data. However, they also use geological knowledge, such as knowledge about typical size and geometry of particular sedimentary units and/or spatial relationships between sedimentary units, to help fill in the spaces between data points. CSIRO Petroleum is developing a computer program that a ...
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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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