Question

General-purpose computers and domain-independent relational database systems have become a large market in the last several decades. However, many people feel that generic data mining systems will not prevail in the data mining market. What do you think? For data mining, should we focus our efforts on developing domain-independent data mining tools or on developing domain-specific data mining solutions? Present your reasoning.

Answer 1

Let us discuss the reasoning

For data mining process there are existence of  algorithms and  general principles and that many data mining applications can use.

There are also specific algorithms that are aimed at solving particular practical problems, such as searching biological sequence patterns.

Even for general principles, more specific developments are often necessary due to different data characteristics and the different pattern types to be mined.

Thus, there should be twotracks in both research and development.

One is to develop domain-independent data mining methods and systems, whereas the other is to develop domain-specific data mining solutions.

Both tracks are expected to have good applications. Due to the diversity of data and mining requests, many domain-dependent data mining systems will likely be generated in the future.

However, many functions of such systems may share some core principles and methods.