ESERE Australian National University INFS8210 Business Analytics for Managers INFS8210 Business Analytics for Managers Web Analytics, Web Mining, and Social Analytics Chapter 8 - 10th edition | Chapter 7 (the rest) - 11th edition Alex Richardson @ 2016-2022 1
INFS8210 Business Analytics for Managers Australian National University Learning Objectives · Define Web mining and understand its taxonomy and its application areas · Differentiate between Web content mining and Web structure mining · Understand the internals of Web search engines · Learn the details about search engine optimization · Define Web usage mining and learn its business application · Describe the Web analytics maturity model and its use cases · Understand social networks and social analytics and their practical applications · Define social network analysis and become familiar with its application areas · Understand social media analytics and its use for better customer engagement Alex Richardson C 2016-2022 2
INFS8210 Business Analytics for Managers Australian National University Web Mining Overview . "the Web" is the largest repository of data · Data is in HTML, XML, text & other formats · Challenges (of processing Web data ) data is unstructured and too much! - The Web is too big for effective data mining - The Web is too complex - The Web is too dynamic - The Web is not specific to a domain - The Web has everything · Opportunities and challenges are great! Alex Richardson @ 2016-2022 having a data and extracting a value 3