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1	Why Simple Hash Functions Work: Exploiting the Entropy in a Data Stream∗ Michael Mitzenmacher† Salil Vadhan‡ School of Engineering & Applied Sciences Harvard University Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2007-11-16 13:42:30 Information retrieval Information science Hashing Search algorithms Universal hashing Hash table Linear probing Hash function Bloom filter Cuckoo hashing Randomness extractor Cryptographic hash function
2	Why Simple Hash Functions Work: Exploiting the Entropy in a Data Stream Add to Reading List Source URL: theoryofcomputing.org Language: English - Date: 2014-11-14 13:01:16 Information retrieval Hashing Information science Search algorithms Universal hashing Hash table Hash function Linear probing Cuckoo hashing Bloom filter Cryptographic hash function Randomness extractor
3	SILT: A Memory-Efficient, High-Performance Key-Value Store Add to Reading List Source URL: www.sigops.org Language: English - Date: 2011-09-20 03:36:42 Information science Information retrieval Search algorithms Hashing Computing Trie Hash table Cuckoo hashing Bloom filter Hash function Perfect hash function Database index
4	Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation Yuriy Arbitman∗ Moni Naor† Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2010-04-08 04:06:04 Information science Information retrieval Search algorithms Hashing Cuckoo hashing Hash table Perfect hash function Hash function Linear probing Randomized algorithm Big O notation Double hashing
5	SILT: A Memory-Efficient, High-Performance Key-Value Store Add to Reading List Source URL: www.sigops.org Language: English - Date: 2011-09-11 16:39:03 Information science Information retrieval Search algorithms Hashing Computer programming Hash table Trie Cuckoo hashing Bloom filter Hash function Database index Associative array
6	Cuckoo Filter: Practically Better Than Bloom Bin Fan, David G. Andersen, Michael Kaminsky† , Michael D. Mitzenmacher‡ Carnegie Mellon University, † Intel Labs, ‡ Harvard University {binfan,dga}@cs.cmu.edu, michae Add to Reading List Source URL: conferences2.sigcomm.org Language: English - Date: 2014-12-01 16:58:59 Information science Hashing Information retrieval Search algorithms Computer programming Bloom filter Cuckoo hashing Hash table Hash function Quotient filter Hash Linear probing
7	Algorithms and Data Structures Winter TermExercises for Unit 11 s 1. For this question assume we have n buckets, B1 , . . . , Bn , initially empty, and an unlimited Add to Reading List Source URL: www-tcs.cs.uni-sb.de Language: English - Date: 2016-03-07 07:14:38 Search algorithms Hashing Cuckoo hashing Hash function 2-choice hashing Locality-sensitive hashing
8	Nordic Collegiate Programming Contest NCPC 2007 October 6th, 2007 The Problemset A B Add to Reading List Source URL: ncpc.idi.ntnu.no Language: English - Date: 2014-01-20 12:10:57 Search algorithms Hashing Hash function Hash table Cuckoo hashing Cryptographic hash function Birthday problem Feature hashing Tabulation hashing
9	Application Note: Scalable HashingProblem How can you use Judy to create a scalable hash table with outstanding performance and automatic scaling, while avoiding the complexity of dynamic hashing? Add to Reading List Source URL: judy.sourceforge.net Language: English - Date: 2004-09-10 16:20:39 Search algorithms Information science Information retrieval Hashing Computer programming Hash table Hash function Trie Judy array Hash Cuckoo hashing 2-choice hashing
10	A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams 117 A Heaviest Hitters Limiting Mechanism with O(1) Time Complexity for Sliding-Window Data Streams Add to Reading List Source URL: utopia.duth.gr Language: English Computer science Linked list Hash table Stack Streaming algorithm Heap Network congestion Cuckoo hashing Time complexity Search algorithms Theoretical computer science Applied mathematics