Data Engineered Content Extraction Studies for Indian Web Pages
The recent innovations in the Internet and cellular communications have opened many interesting and exciting areas of social and research activity, and one of the basic driving forces for this is the Web page containing data in different forms. Data can be in mobile or Internet based and can be online or off-line and normally of sizes ranging from kilo to terabytes. In the Indian context, these can relate to computer-generated, printed, or archived data in different languages and dialects. The present study is focused on applying engineering aspects to data so that a smart set is used to generate content in a short period, so that further developments can be easier. After a brief overview on the complexities of Indian Web pages and current approaches in data mining, a basic pixel-based approach is developed along with data reduction and abstraction to be used with classification approaches for content extraction. During data reduction, engineering approach based on organizing and adapting for suitable inputs for classification is highlighted, and a case study is given here for analysis.
KeywordsClassification Data engineering Reduction Pixel based Knowledge Mining
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