Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Organizations conducting Electronic Commerce (e-commerce) can greatly benefit from the insight that data mining of transactional and clickstream data provides. Such insight helps not only to improve the electronic channel (e.g., a b site), but it is also a learning vehicle for the bigger organization conducting business at brick-and-mortar stores. The e-commerce site serves as an early alert system for emerging patterns and a laboratory for experimentation. For successful data mining, several ingredients are needed and e-commerce provides all the right ones (the Good). b server logs, which are commonly used as the source of data for mining e-commerce data, re designed to debug b servers, and the data they provide is insufficient, requiring the use of heuristics to reconstruct events. Moreover, many events are never logged in b server logs, limiting the source of data for mining (the Bad). Many of the problems of dealing with b server log data can be resolved by properly architecting the e-commerce sites to generate data needed for mining. Even with a good architecture, hover, there are challenging problems that remain hard to solve (the Ugly). Lessons and metrics based on mining real e-commerce data are presented.
['Ron Kohavi']
I am writing a research paper on a idea Mining e-commerce data: the good, the bad, and the ugly
[{"from": "human", "value": "I am writing a research paper on a idea Mining e-commerce data: the good, the bad, and the ugly"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Organizations conducting Electronic Commerce (e-commerce) can greatly benefit from the insight that data mining of transactional and clickstream data provides. Such insight helps not only to improve the electronic channel (e.g., a b site), but it is also a learning vehicle for the bigger organization conducting business at brick-and-mortar stores. The e-commerce site serves as an early alert system for emerging patterns and a laboratory for experimentation. For successful data mining, several ingredients are needed and e-commerce provides all the right ones (the Good). b server logs, which are commonly used as the source of data for mining e-commerce data, re designed to debug b servers, and the data they provide is insufficient, requiring the use of heuristics to reconstruct events. Moreover, many events are never logged in b server logs, limiting the source of data for mining (the Bad). Many of the problems of dealing with b server log data can be resolved by properly architecting the e-commerce sites to generate data needed for mining. Even with a good architecture, hover, there are challenging problems that remain hard to solve (the Ugly). Lessons and metrics based on mining real e-commerce data are presented."}]