Water is one of the basic resources for human survival. Water pollution monitoring and
protection have been becoming a major problem for many countries all over the world. Most …

Data cleansing can be considered to be an activity that is performed on the data sets of the
data warehouse. The cleansing is done in order to enhance and collectively maintain data …

The paper analyses the problem of data cleaning and automatically identifying the “incorrect
and inconsistent data” in the dataset. Extraction, Transformation and Loading (ETL) are the …

Data cleaning is a process of correcting or removing of erroneous data caused by
contradictions, disparities, keying mistakes, missing bits, etc to create consistent and reliable …

The quality of data can only be improved by cleaning data prior to loading into the data
warehouse as correctness of data is essential for well-informed and reliable decision …

Real-World datasets accumulated over a number of years tend to be incomplete,
inconsistent and contain noisy data, this, in turn, will cause an inconsistency of data …

Data warehouse contains large volume of data. Data quality is an important issue in data
warehousing projects. Many business decision processes are based on the data entered in …

Data cleaning is an automated process of detecting, removing and correcting incomplete,
incorrect, inaccurate and irrelevant data from a record set. Our system works on simple text …

In these days, many organizations tend to use a Data Warehouse to meet the requirements
to develop decisionmaking processes and achieve their goals better and satisfy their …

Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …