Tryfona National Center for Geographic Information and Analysis Univ. of Maine, Orono, ME 04469-5711, U.S.A nectaria@spatial.maine.edu Abstract. A special-purpose extension of the EntityRelationship model for the needs of conceptual modeling of geographic applications, called the Geo-ER Model, is presented. Handling properties associated to objects not because of the objects’ nature but because of the objects’ position, calls for dealing -at the semantic modeling levelwith space, location and dimensionality
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and your peers need to know. OLAP (online analytical processing) Star schema What is OLAP (online analytical processing) Fact table OLAP (online analytical processing) is computer processing that enables a Big data analytics Data modeling Ad hoc analysis user to easily and selectively extract and view data from different points of view. For example, a user can request that data be analyzed to display a spreadsheet showing all of a company's beach ball products sold in Florida
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ABHINAV GUPTA Mobile: 097336898416; 0097336907163 ; / E-Mail: itsabhinavhere@gmail.com Seeking assignments in the overall project management of construction projects in an organization of high repute in India. SYNOPSIS Over 5 years of cross-cultural experience in managing projects right from development to delivery encompassing planning, monitoring and controlling in various phases of project lifecycle. Adopt project management tools and techniques like project planning & scheduling using
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IT460 Unit 4 Assignment Dwayne M Sullivan Kaplan University Context Level Diagram This context diagram shows the scope and boundaries of the Training Information Management System. In this diagram, we see that the central process, which is the TIMS, will interact with six entities, which include the corporate client, the training administrator, the instructor, the student, the course, and the accounting system. Moreover, the interaction among these entities will involve six different data
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Transition from 2D Drafting to 3D Modeling Benchmark Report Improving Engineering Efficiency September 2006 — Underwritten, in Part, by — The Transition from 2D Drafting to 3D Modeling Benchmark Report Executive Summary D o more with less. The mandate hasn’t changed for manufacturers. They must develop more products with increasing complexity to address customer and competitive pressures. Yet, there’s no “give” in project timelines to adopt new technologies like 3D modeling to help them win. However
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Research Journal of Management Sciences ____________________________________________ ISSN 2319–1171 Vol. 2(2), 3-8, February (2013) Res. J. Management Sci. Interpretive Structural Modelling (ISM) approach: An Overview Rajesh Attri1, Nikhil Dev1 and Vivek Sharma2 2 Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, INDIA Department of Mechanical Engineering, Advanced Institute of Technology and Management, Palwal, INDIA 1 Available online at:
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clinical setting, Billy will demonstrate an understanding of turn-taking given verbal cues with 80% accuracy in a 30 minute session, measured by observation and data collection. Activity #1: While playing with building blocks (activity), the clinician will tell Billy that they will be building a tower with the blocks (scaffolding), and model (strategy) to Billy by saying, “I will add a block, and then it’s your turn!” Each time a turn is properly taken, a recking ball is moved one step away from the
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Intelligence (BI)is defined as the set of techniques and tools that transform the raw data into meaningful and useful information for business analysis. The main goal of business analyses is to analyze the information about the needs, of the company, identify problems affecting the business, identify loops affecting smooth running of operations and proving solutions based on the information. One of the
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STELLA SIMULATION PROJECT ON SANTA CLARA VALLEY HOSPITAL ISE 222 ADVANCED SYSTEM ENGINEERING Presented to: Prof. Mahdi Yaqub TABLE OF CONTENT 1. Abstract 2. Introduction 3. Methodology • What is System Dynamics? • Stella Simulation Model 4. Background to the Problem 5. Nurse Scheduling
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paper. Helpful pointers into the literature were provided by William Schrader and Stephen Zeff. We would also like to acknowledge comments received at the Michigan State University 1995 Summer AIS Colloquium and at the 1995 Workshop on Semantic Modeling of Accounting Phenomena. Financial support was received from Arthur Andersen LLP and from the Departments of Accounting at Grand Valley State University and Michigan State University. The REA Accounting Model: Intellectual Heritage and Prospects
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