• S. Muruganandam
• S. Subbaiah

As of now, information mining is one of the regions of incredible intrigue since it permits to find covered up and frequently fascinating examples with regards to enormous volumes of information. This present reality enormous datasets are gotten from numerous sources and contain information that will, in general, be deficient, boisterous and conflicting. In this unique circumstance, it is critical to get ready crude information to meet the prerequisites of information mining calculations. This is the job of information pre-handling stage, in which information cleaning, change, and coordination, or information dimensionality decrease are performed. Hence in this process has detected the missing values in data cleaning by using the data pre-processing techniques. It finds and detects and removes the tuples without noise and replaces to finds the value which helps of normalization which helps of data transformation. Data reduction used to perform dimensionality reduction in the pre-processing methods. It aggregates to the selective data sets through selective processing and reduces the size with supports of numerosity respectively. It overcomes the existing drawbacks which support embedding in data mining techniques to provide best solution to dimensionality reduction.

Pre-processing, DR – Dimensionality Reduction, Normalization, Data Cleaning, Data Aggregation, Data Transformation.

"COMPARISON ON TO HANDLING THE MISSING VALUES BY USING PRE-PROCESSING IN EMBEDDING TO APPLYING PCA TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c564-c576, September-2022, Available :http://www.jetir.org/papers/JETIR2209287.pdf

"COMPARISON ON TO HANDLING THE MISSING VALUES BY USING PRE-PROCESSING IN EMBEDDING TO APPLYING PCA TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc564-c576, September-2022, Available at : http://www.jetir.org/papers/JETIR2209287.pdf