@article{1072,
  author = {Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta},
  title = {A Digital Database Text Compression Scheme},
  journal = {International Journal of Computational Linguistics Research},
  year = {2012},
  volume = {3},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v3n4/3.pdf},
  abstract = {In this paper through investigation and experimental result we show our proposed scheme which provides significant improvement in compression efficiencies. The main proposal of this paper is to reduce the memory space and the transmission time. We will also produce an experimental result which shows that our technique achieves good compression ratios. Reduction of compression ratio collection of large amount of data in almost all application is very important. In today’s era without computer application one can never thinks of database without compression. Whenever database comes compression plays very important role. Application may be stock exchange, banking, reservations in almost every field compression becomes primary things. With the help of compression one can make very big data in very less memory space. Disc input and output performance has bottleneck for very large databases. Database compression can be used to reduce disk input output bandwidth requirements for very big amount of data transfers. The authors explore and propose techniques managing the compressed database such that standard operations like retrievals, inserts,deletes and modifications are supported.},
}