PPT-Efficient Type-Ahead Search on Relational Data:

Author : olivia-moreira | Published Date : 2016-07-25

a TASTIER Approach Guoliang Li 1 Shengyue Ji 2 Chen Li 2 Jianhua Feng 1 1 Tsinghua University Beijing China 2 University of California Irvine CA USA Traditional

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Efficient Type-Ahead Search on Relational Data:: Transcript


a TASTIER Approach Guoliang Li 1 Shengyue Ji 2 Chen Li 2 Jianhua Feng 1 1 Tsinghua University Beijing China 2 University of California Irvine CA USA Traditional Keyword Search. 1. What is challenging about standard encryption?. Challenge: Privacy versus Data Utilization Dilemma.  . Client. Storage on the cloud. Sensitive. . data!. . Outsource the . data. SEARCH? . ANALYZE? . A type of database in which records are stored in relational form is called relational database management system.. Relational Data Structure. Relation. Attribute. Domain. Tuple. Degree. Cardinality. Shengyue. Ji. 1. , . Guoliang. Li. 2. , Chen Li. 1. , . Jianhua. Feng. 2. 1 . University of California, Irvine. 2 . Tsinghua. University. Too many results!. Traditional Keyword Search. No result!. Nothing is so practical as a good theory. Kurt Lewin, 1945. The relational model. Overcame shortcomings of earlier database models. Has a strong theoretical base. Codd was the major developer. Problems with other models. OVERVIEW OF CODD’s RULE. A . relational database management system (RDBMS).  is a database management system (DBMS) that is based on the relational model as introduced by . E. F. . Codd. . . A short definition of an RDBMS may be a DBMS in which data is stored. Relational Database Design by ER- and EER-to-Relational Mapping. Chapter 9 Outline. Relational Database Design Using ER-to-Relational Mapping. Mapping EER Model Constructs to Relations. Relational Database. Presented By:. . Pardeep MT15042. . Anurag Goel MT15006. Outline. Introduction . to XML. XML Documents. XML Databases. XML . M. odel v/s . R. elational . Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Department of Computer Science. Kent . State University. Email: . xlian@kent.edu . Homepage: . http. ://www.cs.kent.edu/~xlian/. 1. 2. Objectives. In this chapter, you will:. Get familiar with many indexing mechanisms:. DBI-B410. When you need to find something…. Search the Web. Search in an App. Azure Search. A search-as-a-service solution allowing developers to incorporate great search experiences into applications without managing infrastructure or needing to become search experts.. Non-Relational Databases Jeff Allen Overview Background Benefits Pitfalls Available Platforms Summary Overview Background Benefits Pitfalls Available Platforms Summary “A database is a collection of data.” Sir Arthur Conan Doyle. Programmer productivity. In the 1970s, Codd laid out a plan for improving programmer productivity and accelerating systems development by improving the management and processing of data. Section 1. Tutorial on Learning Bayesian Networks for Relational Data. Overview. What are relational data?. Different notations/representations.. Logic. Tables. Graph. RDF. Matrix/Tensor. Common core: . Denis Krompaß. 1. , Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. . Department of Computer Science. Ludwig Maximilian University, . 2. MIT, Cambridge and . Istituto. . Italiano. . di. . Tecnologia.

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