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Processing and Analysis of Web Campaign Data for Target Audience Categorization Using Big Data Techniques

Student: Muttal Channabasappa

Supervisor: Petr Panfilov

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Final Grade: 9

Year of Graduation: 2017

Based on the study it shows to find the target audiences of web campaign data, we can utilize various large scale systems of Hadoop and NoSQL databases. Based on the drawback and disadvances of traditional databases and data warehouse. We implemented data management platform and data mining methods and various designed algorithms help to evaluate the various process and analyze the data to find the target audiences. Development of API’s of cloud databases, log processing systems and cloud data warehouses and c-clones are the implementation of the campaign data to find the target audiences.

Full text (added May 21, 2017)

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