Forum Discussion
Proposal for a new data structure that extremely reduces data sizes for data in which two item types
The testing results for the proposed method using data in the real world are published. These results show that the proposed methods are efficient also for the data in the real world. The used data are news documents and words in the documents written in Japanese. The data size for the relations between the documents and words is reduced approximately 43%. The search time from a word to the related documents becomes 31% when data on main memory used, whereas 438% when data on relational database in hard disk. These results shows that the proposed method is useful when data on main memory are used, for example, Redis which is one of the famous NoSQL databases.
Reference; Tsuneo Kuwabara and Kazumi Saito, Data Reduction and Data Searching Time Using Container Variables Relation between News Documents and Word used in the Documents, Science Journal of Kanagawa University, Vol.35, pp49-52 (2024.7)
https://www.sci.kanagawa-u.ac.jp/about/pdf/SJKU_2024_vol35.pdf