Research On The Patent Trend Based On The Data Mining

Obtaining sufficient competitive intelligence is a critical factor in helping business managers gain and maintain competitive advantages. Patent data is an important source of competitive intelligence and patent trend is critical for the enterprises to gain a strategic advantage. Under existing approaches, to detect changes in patent trends, business managers must rely on patent analysts to compare two patent analysis charts of different time periods. The discovery of change of trends currently still needs laborious human efforts and no efficient computer-based approaches are available for helping this task.In this paper, we propose a patent trend mining approach that can identify changes in patent trends without the need for specialist knowledge. The proposed approach consists of steps including patent collection, patent indicator calculation, and change mining. In change mining phase the approach firstly excavate rules between two different time periods, comparing them to determine the trend changes. These trend changes are then classified into four categories of change, evaluated with change degree and ranked. We apply the patent trend mining approach to INTEL Company to discover patent trends between 1990～1991 and 2000～2001. The proposed approach generates decision support to help managers develop appropriate business strategies.