The head office of ACM (Association of Computer Machinery) also announced the results of their screening for 2006 fellowship. NTU's Department of Engineering Professor Chen Ming-syan won the fellowship for his research "Contributions to Query Processing and Data Mining." ACM established its fellow program in 1993, and reviewed candidates once a year. In over 80,000 members, only about 20 people qualify for the honor. Up to the present, only about 20 Chinese scholars have received ACM fellowship. Professor Chen was the first NTU professor to receive such distinguished honor, making the bestowment all the more valuable for him.

   With the advent of the internet and the digital age, the use of informational technology has become increasingly popular. As the transmitting of digital data becomes more convenient, the size of digital data also increases by leaps and bounds. As a result, the importance of digital mining, which deals with the issue of shifting useful information from a large data base, has also been greatly enhanced. The academic society worldwide has even labeled data mining as one of the most important technologies of the 21st century.

   Professor Chen Ming-syan first devoted himself to the exploration of the modes of web-log mining, and subsequently developed the incremental mining method, which refers to a sectional mining method when there is only partial change in the data base. This new method can be expanded into a new technology for data stream mining, has valued both in theory and in practice, and is considered to be conducive to the mining of internet data in the future.

  In addition, Professor Chen Ming-syan analyzes the developing trend of the data mining field as a whole, and discussed in concrete details the technologies, applications, and efficiencies of various types of data mining methods. His research article is considered to have long lasting and positive influence on the development of data mining in the days ahead, and is one of the most often quoted article in the filed of information technology in Taiwan.

   Professor Chen Ming-syan also has abundant achievements in the area of query processing. Traditionally, dispersed query processing adopts the so-called "semijoin" method in order to reduce the amount of data transmitted through the internet and the amount of data needed to be processed. Professor Chen Ming-syan proposed the innovative concept of scheduling by alternating the semijoins and joins method.

  His proposed concept is useful in increasing query processing speed to a large extent, an achievement which is very useful in this day and age when internet applications are so popular. In view of the rapid development of internet technology, Professor Chen Ming-syan also involves himself in the mining of data streams, using hardware computing to assist data mining, and developing the techniques for processing internet data.