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Estimation of the Lead-Lag Parameter from Synchronous Data
Estimation of the Lead-Lag Parameter from Synchronous Data

... or high. As a first step in the analysis, we estimate the parameter (θ) based on real data. We then employ GBM model to simulate stock’s prices and do the estimation again (θ̂). By comparing θ with θ̂, we obtain the matching probability. In addition, we set up a process to determine the cut of value ...
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... Lalitha Dabbiru1, Charles G. O’Hara1, David Shaw1, Sridhar Katragadda2, Daniel Anderson3, Sung-Jun Kim1, Bijay Shrestha1, Jim Aanstoos1, Troy E. Frisbie4, Fritz Policelli5, Nabeel Keblawi6 ...
Introduction To Data Mining
Introduction To Data Mining

... Amount of data in databases and files grows exponentially 9Petabytes for Earth observation project in 2010 and 14Petabytes in 2015. Data Mining is interested in finding information in these huge data sources Typical database query: SQL, Access and other database languages to get data Data Mining que ...
IOSR Journal of Computer Engineering (IOSR-JCE)
IOSR Journal of Computer Engineering (IOSR-JCE)

... service provided by Microsoft that will be used by us for implementation [6]. As we move towards an interconnected world of numerous clouds, it gives user access to services anytime and anywhere. But there is also a great risk involved. There are various types of issues that a cloud storage user bot ...
Object Discovery: Soft Attributed Graph Mining
Object Discovery: Soft Attributed Graph Mining

... labeled graphs, we propose a new mining strategy that directly extracts the SAP with the maximal graph size without applying node enumeration. Given an initial graph template and a number of ARGs, we develop an unsupervised method to modify the graph template into the maximal-size SAP. From a practi ...
Analysis of Data Warehousing and Data Mining in
Analysis of Data Warehousing and Data Mining in

... considering his academic and non academic activities. Information regarding assets such as the investment in a particular financial year can also be accessed. In educational institute, decision makers ask “What are the expected results and benefits?” when making a data warehouse project rather than ...
Tamiflu SPCs expiries clear path in Europe
Tamiflu SPCs expiries clear path in Europe

... sales of the antiviral brand by 27% to SFr270 million, as European sales slid by 30% to SFr13 million. Immediately upon the end of the paediatric extension to the US ‘483 patent in late February this year, the US Food and Drug Administration (FDA) approved a second oseltamivir abbreviated new drug a ...
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...  Like the form, a windows component is also a class.  This class will contain all the Connection, DataAdapters and DataSets that are needed for the data Tier.  Each of these are considered to be private  To access these objects and all methods and properties, require the use of Accessor methods/ ...
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Poster at European Conference on Computational Biology 2003
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Lecture 1 - The University of Texas at Dallas
Lecture 1 - The University of Texas at Dallas

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Data Sheet New Storage Strategies to Meet Higher Education

... 2008, state spending on higher education has decreased by more than 28 percent in most states, leaving internal programs grappling for remaining budget dollars.i IT departments are no exception. ...
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... domain of existing strings was always small and their order irrelevant. Therefore, an encoding as categorical data, see below, was chosen. Categorical data, i.e., data with no ordering, can only have one of two distances: 1 (attribute values different) and 0 (values the same). Categorical data can b ...
Coastal Development Conference Call
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... The group discussed in particular the Lead and Copper figures that Christine prepared. It was decided that including all of the data (as opposed to only the 2000s data as prepared) would be interesting. Diane Gould stated that there are also interesting geographical trends in the data. Adria Elskus ...
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... sub-sampler knows enough about the large dataset in the first place, to sub -sample “representatively”. That is, sub -sampling representatively presupposes considerable knowledge about the data. For many large dataset s, such knowledge may be inadequate or non-existent. Index files are vertical str ...
USING OLAP DATA CUBES IN BUSINESS INTELLIGENCE
USING OLAP DATA CUBES IN BUSINESS INTELLIGENCE

... • Status display – a visual element that generates the displays of status for a KPI • The trend barometer – a visual element that offers a quick display of the trend for a KPI • The display folder – the folder in which the KPI cube is found if a user searches in the cube • Superordered KPI – a refer ...
The Use of Scripting Languages, Database Technology
The Use of Scripting Languages, Database Technology

... The status quo for many academic research projects involves a team of investigators who each specialize in one area and converge to share their findings. Often, the principal investigator for the study does not specialize in technology and relies on research assistants to use sophisticated statistic ...
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... data and to infer characteristics of such large populations of data. It is not mathematics. It is one of the most widely applicable tools available to business people, and also one that is not widely mastered. Knowledge of statistics and data management will make you an exception and thus more emplo ...
Application of Python in Big Data
Application of Python in Big Data

... For most organizations, big data analysis is a challenge. Consider the sheer volume of data and the different formats of the data (both structured and unstructured data) that is collected across the entire organization and the many different ways different types of data can be combined, contrasted a ...
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... Entries in columns are from the same set of values Each row is unique The sequence of columns can be interchanged without changing the meaning or use of the relation  The rows may be interchanged or stored in any ...
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... • MDX was introduced by Microsoft with Microsoft SQL Server OLAP Services in around 1998, as the language component of the OLE DB for OLAP API. More recently, MDX has appeared as part of the XML for Analysis API. Microsoft proposed that the MDX is a standard, and its adoption among application write ...
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Big Data - IOE Notes

... Take into account that analytics may be an iterative process using data from a variety of sources. ◦ analytics is not necessarily a linear process. Insights yielded by analytics may be identified as flawed or lacking, and data scientists may in response re-develop an algorithm or reexamine the appro ...
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ppt

...  Forego schema design and store all objects in a single horizontal table using the interpreted storage format.  System uses an attribute catalog to record the name, id, type, and size of each attribute. Each tuple starts with a header with fields such as relation-id, tuple-id, and record length  ...
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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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