Efficient Storage Reduction of Frequency of Items in Vertical Data Layout
The digital databases are immersed with large amount of data. The explosive growth of massive amounts of data leads to space complexity, performance degradation, scalability and time complexity. The authors cannot stop the incoming data, but they can fix some limitations to reduce the massive collection of data. The crux of the matter is how to accommodate all these data in an efficient manner, minimize storage space and lossless data. There are many algorithms which have been developed so far. Even though there is a cut-throat competition to satisfy all these criteria, they have developed a novelty approach in their proposed work to reduce the frequencies of items in vertical data layout.