Will the term "Data Mining" survive?

I used to argue that data mining as a field will survive because it was tied so much to the bottom line--CFOs and stakeholders were involved with data mining applications and therefore the field would avoid the hype that crippled neural networks, AI and prior pattern recognition-like technologies. These achieved buzzword status that unfortunately surpassed successful practical applications.

However, it appears that the term data mining is being tied more and more to the process of data collection from multiple sources (and the subsequent analysis of that data), such as here and here and here. I try to argue with critics that the real problem is not with the algorithms, but with the combining of the data sets to begin with. Once the data is joined, whether you use data mining, OLAP, or just simple Excel reports, there is a possible privacy concern. Data mining per se has little to do with this; it only can be used to describe what data is there.

However, the balance may be tipping. Data mining (whether related to government programs or internet cookies) has become the term associated with all that is bad about combining personal information sources so that its days I think are numbered. Maybe it's time to move on to the next term or phrase, and then the next phrase, and so on, and so on, and so on...