• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Development of an Integrated Water-Level Sensor and Data-Logger System January 1998
Development of an Integrated Water-Level Sensor and Data-Logger System January 1998

... whether there was any market for it. In this manner, the collaborative relationship between the College of Forest Resources/Center for Streamside Studies and the Department of Electrical Engineering at the University of Washington began. Brian Read built a hand-held demonstration model to show proof ...
bringing data mining to customer relationship management of every
bringing data mining to customer relationship management of every

... data mining tool developed at VTT Technical Research Centre of Finland is designed to overcome these limitations to enable broader use of data mining methods in various customer related businesses also including SMEs. The tool was piloted during year 2003 with end-users in real-world CRM cases. ...
PRIVACY AND SECURITY SHIELD FOR HEALTH INFORMATION
PRIVACY AND SECURITY SHIELD FOR HEALTH INFORMATION

... database tables, network objects etc. In a network-centric architecture integrating many heterogeneous data sources, these mechanisms are too limited to provide answers to personoriented auditing questions, such as “who has accessed what information about me and for what purpose?” Person-oriented au ...
Evolving data into mining solutions for insights
Evolving data into mining solutions for insights

... The quest for patterns in data has been studied for a long time in many fields, including statistics, pattern recognition, and exploratory data analysis [6]. Data mining is primarily concerned with making it easy, convenient, and practical to explore very large databases for organizations and users ...
PDF Presentation Slides
PDF Presentation Slides

... X.com Privacy Policy : X.com vendors cannot access detailed information about customer’s orders, but can get statistic data about them. ...
Chapter 1
Chapter 1

... Database Management System (DBMS) – Software application that stores the structure of the database, the data itself, relationships among the data in the database, as well as forms and reports pertaining to the database ...
A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience
A Practical Approach for Microscopy Imaging Data Management (MIDM) in Neuroscience

... bioinformatics and data integration”, Bioinformatics, 17, 2001, pp. ...
DW Tutorial
DW Tutorial

... MOLAP Cubes: stands for Multidimensional OLAP. In MOLAP cubes the data aggregations and a copy of the fact data are stored in a multidimensional structure on the Analysis Server computer. It is best when extra storage space is available on the Analysis Server computer and the best query performance ...
Publisher - Mat/Sta/CMP Department
Publisher - Mat/Sta/CMP Department

... (Prerequsite was changed from CMP 218 or CMP 219 as a result of the new IT degree) ...
mdean-rdfdbm
mdean-rdfdbm

... and then apply Semantic Web tools  Much less labor to achieve similar results  How “nice” can we make the first stage output? ...
PowerPoint
PowerPoint

... should contain the county code/name if that was your aggregation level. The top row of your file can be the column headings. In the second row, you can have descriptive headings for your data. It is very IMPORTANT to use a colon ‘:’ in the 2nd row heading for those columns that are to be treated as ...
CPS221 Lecture - Introduction to Database Systems Objectives:
CPS221 Lecture - Introduction to Database Systems Objectives:

... 1. Historically, these two approaches evolved successively. a) Early computer applications were always developed using the file processing approach, because that was the only approach known. b) The DBMS approach was developed in the 1960's, and has come to be used in a variety of application areas - ...
Human Subject Project Closure Form
Human Subject Project Closure Form

... years after the close of a study, regardless of the reason for closing the study. Studies that involve drugs or devices seeking FDA approval must be kept for two years after the FDA has taken final action on the marketing application. All records of human subject research are subject to inspection b ...
Lecture27 - The University of Texas at Dallas
Lecture27 - The University of Texas at Dallas

...  Steganalysis is about developing techniques that can analyze text, images, video and detect hidden messages - May use data mining techniques to detect hidden patters  Steganograophy makes the task of the Cyber crime expert difficult as he/she ahs to analyze for hidden information ...
European Integration Biographies reference database
European Integration Biographies reference database

... The European Integration Biographies reference database (EIBIO) is a structured repository for information about people that is currently under development at the CVCE. EIBIO is inspired by profile pages on LinkedIn or IMDB which combine structured, machine-readable information with unstructured and ...
database
database

... •Promotion discount information are also kept. •The database is also used in acquisition of products by the supermarket. ...
Chapter 12 Representing Data Elements
Chapter 12 Representing Data Elements

... – How to represent SQL datatypes as fields – How to represent tuples as records – How to represent collections or records in blocks of memory – How to represent and store relations as collections of blocks – How to cope with record sizes – What if the size of a record changes due to updating ...
database management system
database management system

...  DBMS users can be humans or application programs.  A DBMS has three levels: internal, conceptual, and ...
Decision Trees & the Iterative Dichotomiser 3 (ID3) Algorithm
Decision Trees & the Iterative Dichotomiser 3 (ID3) Algorithm

... determine nodes and the attributes they use for branching. Also, the emerging tree is traversed in a top-down (root to leaf) approach through each of the nodes within the tree. This occurs RECURSIVELY, reminding you of those “pointless” tree traversals ...
Funding data collection
Funding data collection

... be considered valid records until such a time as the funder is added to the database and they are re-deposited with an ID… – To this end it is critical that publishers do their utmost to match submitted or extracted funding data to the Registry ….’ [source: https://support.crossref.org/hc/en-us/arti ...
Big Leap - Hexaware
Big Leap - Hexaware

... • Quicker value realization with up to 30% increase in revenue or savings through enhanced insights & decision-making from the use of: − industry-specific use cases stratified by value and complexity − data processing utilities that quickly transform raw data ready for analysis − application and dom ...
030122MARAMAScienceMeeting - Capita
030122MARAMAScienceMeeting - Capita

... Develop an interactive data query and analysis tool for the above paired chemical/trajectory analysis ...
Document
Document

... leverage the query-image pairs annotated by human labelers to train a series of ranking functions. However, there are two major limitations: 1) the surrounding texts are often noisy or too few to accurately describe the image content, and 2) the human annotations are resourcefully expensive and thus ...
MaDAM Pilot Overview - The University of Manchester
MaDAM Pilot Overview - The University of Manchester

... – Researchers need to be supported to manage their data well and comply with legal and funder policies – Funders want to ensure public money spent on research is maximised – this means ensuring research data is preserved for reuse. – Potential future value in data assets needs to be preserved. ...
KDDCUP Survey - Department of Computer Science and Engineering
KDDCUP Survey - Department of Computer Science and Engineering

... from unauthorized users, including perhaps insiders Data: from DoD Winners  SAS Institute Inc. with their software Enterprise Miner.  Amdocs with their Information Analysis Environment ...
< 1 ... 98 99 100 101 102 103 104 105 106 ... 164 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report