PPT-Classifying and Comparing Attribute-Based and Relationship-

Tahmina Ahmed Ravi Sandhu and Jaehong Park ACM CODASPY March 2224 2017 1 Institute for Cyber Security WorldLeading Research with RealWorld Impact by Outline Introduction Background amp Motivation. GIS. With support from:. NSF DUE-0903270. Prepared by:. in partnership with:. John McGee. Jennifer McKee. Geospatial Technician Education Through Virginia’s Community Colleges (GTEVCC). The Problem. In the news clustering problem we computed the distance between two news entities based on their (key-) wordlists A and B as follows: distance(A,B)=1-(|A. B)|/|AB|) with ‘||’ denoting set cardinality; e.g. |{. Data Modeling Using the Entity-Relationship Model. Data Modeling. Process of creating a logical representation of the structure of the database. The most important task in database development. The Data Model. Decision Tree Learning. Bamshad Mobasher. DePaul University. 2. Classification: 3 Step Process. 1. Model construction . (. Learning. ):. Each record (instance, example) is assumed to belong to a predefined class, as determined by one of the attributes. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER . GRAPHICS, . DECEMBER 2012. Authors:. . Christian . Tominski. Heidrun. Schumann. Gennady . Andrienko. Natalia . Andrienko. BY:. Farah . Kamw. Introduction. Think Win-Win. Habit #4: Think Win-Win. Win-Win is an attitude toward life; a mental frame of mind that . syas. , I can win and so can you. It is not about me or you, it is about both of us. It begins with the belief that we are all equal, that no one is inferior or superior to anyone else and not needs to be the winner. January 2017. This is complex. You will find at least one slide that you disagree with. . Documented Principles. SNOMED CT relationship concepts will be used for the parent – child binding relationships. . Practice . (3) . :. Data Modelling & the Entity-Relationship Approach. UFCE8V-20-3 . Information Systems Development 3 (SHAPE HK). E-R modelling concepts (1). Entity & Attribute. An . entity. Mary Tweedy, Curriculum Support Specialist. Keisha Kidd, . Curriculum Support Specialist. Dr. Millard . Lightburn. , Science Supervisor. Department of Mathematics and Science. Benchmarks. SC. .5.. L.. Requirements & collection analysis. Conceptual Design. Data Model Mapping. Physical Design. Database Requirements. Conceptual Schema (in a high-level data model). DBMS independent. DBMS specific. This is complex. You will find at least one slide that you disagree with. . Documented Principles. SNOMED CT relationship concepts will be used for the parent – child binding relationships. . Also stated as “CIMI model bindings will be informed by the SNOMED CT concept model where appropriate.”. Cal Poly Pomona. Overview of Database Design Process. Two main activities:. Database design. Applications design. Focus in this chapter on . conceptual database design. To design the conceptual schema for a database application. 1. Emphases:. 6-13; 15-27; 32 . Query Languages. Entity–Relationship Modeling. Normalization and . Joins - optional. 2. Understand the process of querying a relational database.. Understand the process of entity–relationship modeling.. Susan . Hohenberger. . George Lu. Brent Waters David Wu. Attribute Based Encryption [SW05, GPSW06]. pk. sk. faculty. + CS. sk. faculty. + math. sk. student. + CS. ct. CS.