Input: Concepts, Attributes, Instances. 2 Module Outline Terminology What’s a concept? Classification, association, clustering, numeric prediction.
chapter...1....2
Lecture4: Informal guidelines for good relational design Mapping ERD to Relation Ref. Chapter3 Lecture4 1.
California Standards Test and CAHSEE Correlation Use of Student Data for Targeted Preemptive Intervention November 1, 2006 Dr. Janis Fries-Martinez, Principal.
Descriptive Statistics Kenneth Kwan Ho Chui, PhD, MPH Department of Public Health and Community Medicine [email protected] 617.636.0853 Epidemiology/Biostatistics.
1 Attribute-Based Encryption Brent Waters SRI International.
Reference:Dongsheng Lu’s Normalization slides Normalization.
1 File Management How much does the operating system know? Some systems support different types Advantage – prevents you trying to read executable files.
Lecture 1 Introduction. 1-2 Your world is filled with objects. Many of these objects are controlled by computers. Computers rely on ___________ to determine.
Database Design – Lecture 17
Normalization
1 Attribute-Based Encryption for Fine-Grained Access Control of Encrypted Data Vipul Goyal Omkant Pandey Amit Sahai Brent Waters UCLA SRI.
