PPT-Summer School on Hashing’14

Locality Sensitive Hashing Alex Andoni Microsoft Research Nearest Neighbor Search NNS Preprocess a set of points Query given a query point report a point with the smallest distance to . 1 Overview Hashing is a great practical tool with an interesting and su btle theory too In addition to its use as a dictionary data structure hashing also comes up in many di 64256erent areas including cryptography and complexity theory In this lectu 1071242Open Hashing (Chaining)0123456789abdgcf Constant Worst-Case Operations with a Succinct Representation. Yuriy. . Arbitman. . Moni. Naor Gil . Segev. Dynamic Dictionary. Data structure representing a set of words . S. From a Universe . Motivating Applications. Large collection of datasets. Datasets are dynamic (insert, delete). Goal: efficient searching/insertion/deletion. Hashing is ONLY applicable for exact-match searching. Direct Address Tables. Uri . Zwick. January 2014. Hashing. 2. Dictionaries. D .  . Dictionary() . – Create an empty dictionary. Insert(. D. ,. x. ) . – Insert item . x. into . D. Find(. D. ,. k. ) . – Find an item with key . Hash Tables. Open Address Hashing. Goals . Open Address Hashing. Hash Tables: . Resolving Collisions. There are two general approaches to resolving collisions:. Open address hashing: . if a spot is full, probe for next empty spot. COL 106. Shweta Agrawal, . Amit. Kumar. Slide Courtesy : Linda Shapiro, . Uwash. Douglas W. Harder, . UWaterloo. 12/26/03. Hashing - Lecture 10. 2. The Need for Speed. Data structures we have looked at so far. Haim Kaplan . and. Uri . Zwick. January 2013. Hashing. 2. Dictionaries. D .  . Dictionary() . – Create an empty dictionary. Insert(. D. ,. x. ) . – Insert item . x. into . D. Find(. D. ,. k. Shannon Quinn. (with . thanks to William Cohen of Carnegie Mellon University, and J. . Leskovec. , A. . Rajaraman. , and J. Ullman of Stanford . University). First: Upcoming deadlines!. TONIGHT @ 11:59:59pm: Assignment 3!. Martin Åkerblad. William . bruce. What is . Hashing?. Index. Key. 1. 2. 3. 4. 5. 6. 7. Key. 56. 84. 23. 42. 71. 97. 55. Hash. . function. 56. 42. 71. 23. 84. 55. 97. Value. When to use hashing.. Quick searching in large databases. Plan. I spent the last decade advising on numerous cases where hash tables/functions were used. A few observations on . What data structures I’ve seen implemented and where. What do developers think, were they need help. Readiness & SSI. Elementary and middle school . WHAT IS SUMMER READINESS. The Dallas ISD Summer Readiness program is an intensive eight day program specifically designed for students that did not meet local promotion criteria per District policy due to report card . Worried about getting your laundry done in summer? Then hire Prime Laundry, professional laundry cleaning services shop in London. How to wash summer clothes properly always seems surrounded by a great deal of mystery. Explore here or book with Hello Laundry!