2017 International Conference on Inventive Computing and Informatics (ICICI) 2017
DOI: 10.1109/icici.2017.8365368
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A tree based approach to improve traditional collision avoidance mechanisms of hashing

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Cited by 5 publications
(2 citation statements)
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“…In a high load factor environment this method provide a non-constant time complexity of O(n) for inserting and retrieving a key from the hash table and tends to cause problem of tracking linked list [5]. However, another method invented by Dhar et al [16] provide better performance from O(1+n) to O(logn). The technique uses a binary search tree to chain a collide key rather than using a list or linked list which reduces the time for searching a key.…”
Section: ) Openmentioning
confidence: 99%
“…In a high load factor environment this method provide a non-constant time complexity of O(n) for inserting and retrieving a key from the hash table and tends to cause problem of tracking linked list [5]. However, another method invented by Dhar et al [16] provide better performance from O(1+n) to O(logn). The technique uses a binary search tree to chain a collide key rather than using a list or linked list which reduces the time for searching a key.…”
Section: ) Openmentioning
confidence: 99%
“…Step 4: insert the Key with the same hash address into the corresponding AVL tree and compare it with the Key value in the root node. If the queried Key is larger than the root node, it is compared with the nodes of the right subtree until the queried Key find its CDR cache and modify the CDR property [14,15]. Algorithm: Searching of key in AVL-HSSA 1: procedure SEARCH(key) 2: hash = hashValue(key) 3: key_node = searchForHash 4: if key_node is NULL then 5:…”
Section: Improved Avl-hssa Algorithmmentioning
confidence: 99%