An optimal text compression algorithm based on frequent pattern mining

Data Compression as a research area has been explored in depth over the years resulting in Huffman Encoding, LZ77, LZW, GZip, RAR, etc. Much of the research has been focused on conventional character/word based mechanism without looking at the larger perspective of pattern retrieval from dense and l...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of ambient intelligence and humanized computing Ročník 9; číslo 3; s. 803 - 822
Hlavní autoři:	Oswald, C., Sivaselvan, B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Codes Coding Compression ratio Computational Intelligence Data compression Data integrity Data mining Datasets Dictionaries Engineering Entropy Huffman codes Original Research Pattern analysis Robotics and Automation Tables (data) User Interfaces and Human Computer Interaction Apriori algorithm Frequent pattern mining Lossless compression Huffman encoding Compression ratio
ISSN:	1868-5137, 1868-5145
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!