PPT-Representing and Querying Correlated Tuples in Probabilisti

Prithviraj Sen Amol Deshpande outline General Info Introduction Independent tuples model Tuple correlations Representing Dependencies Query evaluation Experiments Conclusions amp Work to be done. a new class of data management applications. Don Carney, . Uğur. . Çetintemel. , Mitch . Cherniack. , Christian Convey, . Sangdon. Lee, Greg . Seidman. , Michael . Stonebraker. , . Nesime. . Tatbul. Bhargav Kanagal & Amol Deshpande. University of Maryland. Introduction. Correlated Probabilistic data generated in many scenarios. Data Integration [AFM06]: Conflicting information best captured using “mutual exclusivity”. of . Preference Queries . in . Data Streams : a Survey. M. . Kontaki. , A.N. Papadopoulos, . Y. . Manolopoulos. Data Engineering Lab. Department of Informatics. Aristotle . University. . of Thessaloniki. Sulabha Balan. ICICLES: Self-tuning Samples for Approximate Query Answering. By . Venkatesh. . Ganti. , . Mong. Li Lee, and . Raghu. . Ramakrishnan. CSE 6339 . Introduction. Icicles. Icicle Maintenance. Notes. P. 189: Sets, Bags, and Lists . To understand the distinction between sets, bags, and lists, remember that a set has unordered elements, and only one occurrence of each element.. A bag allows more than one occurrence of an element, but the elements and their occurrences are unordered.. . Your Name:. and your ID:. Problem. . Max. s. core. Score. Problem 1. 40%. Problem 2. 32%. Problem 2. 28%. Total. 100%. 2. Source1. A. U. Source2. B. Problem 1. 40%. We have a steady-state situation. The number of . Meng Yang. Phonetics Seminar. March 7, 2016. The Plan. Background: . C. ue weighting and cue shifting. Theories and predictions. My research questions. Methods (brace yourselves…). Results (yay!). Discussion. Section 9.3. Representing Relations Using Matrices. A relation between finite sets can be represented using a zero-one matrix. . Suppose . R. is a relation from . A. = {. a. 1. , . a. 2. , …, . a. 15.1 . –. Introduction to physical-Query-plan operators. Query processor. Query Processor. : Group of components of a DBMS that turns user queries . and data-modification commands into a sequence of database . Meng Yang. Phonetics Seminar. March 7, 2016. The Plan. Background: . C. ue weighting and cue shifting. Theories and predictions. My research questions. Methods (brace yourselves…). Results (yay!). Discussion. Halloween 2018. Announcements. Homework 8 due up front. Homework 9 due next week. Read . ch.. 13, 14, & 21. Learning Objectives. Introduce and discuss tuples. Identify the similarities and differences between tuples and lists. . lists. -- Tuples are . another kind . of sequence, which . function . much like a . list . - they have . elements . which are. . indexed . starting at. . 0. >>> . x . = . ('Glenn', 'Sally',. 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. https://www.cs.ucy.ac.cy/courses/EPL646. 1. EPL646: Advanced Topics in Databases.  . A Database System with Amnesia. . Martin . Kersten. , . Lefteris. . Sidirourgos. A Database System with Amnesia.