Searching techniques significantly determine the speed of getting the information or objects. Finding an object in a set is related to membership checking. In the case of massive data, it needs an appropriate technique to search an object accurately and faster. This research implements searching methods, namely Bloom Filter and Sequential Search algorithms, to find objects in a set of data. It aims to improve our system getting a proper item. Due to the possibility of False-Positive existence as a result of Bloom filter technique, there is a potentially inaccurate representation to object sought. Some parameters are influencing False-Positive, namely the number of objects, available bits, and the number of mappedbit. A Combination of those ...
A content addressable memory (CAM) is an SRAM-based memory that can be accessed in parallel to searc...
Bloom filter is a probabilistic and memory efficient data structure designed to answer rapidly wheth...
This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that...
Searching techniques significantly determine the speed of getting the information or objects. Findin...
A Bloom filter is a very compact data structure that supports approximate membership queries on a se...
Bloom filters are hash-based data structures for membership queries without false negatives widely u...
Bloom filter is effective, space-efficient data structure for concisely representing a data set and ...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
Masteroppgave i informasjons- og kommunikasjonsteknologi 2010 – Universitetet i Agder, GrimstadAchie...
Bloom filters are compact set representations that support set membership queries with small, one-...
Fifth Place winner of oral presentations at the 5th Annual Symposium on Graduate Research and Schola...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
Abstract In many cases, databases are incompetent to meet the requirement of the quick query identif...
Bloom filters impress by their sheer elegance and have become a widely and indiscriminately used too...
A content addressable memory (CAM) is an SRAM-based memory that can be accessed in parallel to searc...
Bloom filter is a probabilistic and memory efficient data structure designed to answer rapidly wheth...
This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that...
Searching techniques significantly determine the speed of getting the information or objects. Findin...
A Bloom filter is a very compact data structure that supports approximate membership queries on a se...
Bloom filters are hash-based data structures for membership queries without false negatives widely u...
Bloom filter is effective, space-efficient data structure for concisely representing a data set and ...
A Bloom filter is a compact data structure that supports membership queries on a set, allowing false...
Masteroppgave i informasjons- og kommunikasjonsteknologi 2010 – Universitetet i Agder, GrimstadAchie...
Bloom filters are compact set representations that support set membership queries with small, one-...
Fifth Place winner of oral presentations at the 5th Annual Symposium on Graduate Research and Schola...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
Abstract In many cases, databases are incompetent to meet the requirement of the quick query identif...
Bloom filters impress by their sheer elegance and have become a widely and indiscriminately used too...
A content addressable memory (CAM) is an SRAM-based memory that can be accessed in parallel to searc...
Bloom filter is a probabilistic and memory efficient data structure designed to answer rapidly wheth...
This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that...