Distributed Function Mining for Gene Expression Programming Based on Fast Reduction
نویسندگان
چکیده
منابع مشابه
Distributed Function Mining for Gene Expression Programming Based on Fast Reduction
For high-dimensional and massive data sets, traditional centralized gene expression programming (GEP) or improved algorithms lead to increased run-time and decreased prediction accuracy. To solve this problem, this paper proposes a new improved algorithm called distributed function mining for gene expression programming based on fast reduction (DFMGEP-FR). In DFMGEP-FR, fast attribution reducti...
متن کاملVCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming
Intelligence operation against the terrorist network has been studied extensively with the aim to mine the clues and traces of terrorists. The contributions of this paper include: (1) introducing a new approach to classify terrorists based on Gene Expression Programming (GEP); (2) analyzing the characteristics of the terrorist organization, and proposing an algorithm called Create Virtual Commu...
متن کاملTrading Strategy Mining with Gene Expression Programming
In the paper, we study the investment on Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX), which is assumed to be tradable. We apply the gene expression programming (GEP) to mining profitable trading strategies in the training phase. GEP is a good tool for evolving formulas since the logical view of its chromosome is a tree structure and the physical implementation is a linear ...
متن کاملMining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming
Rule mining is very important for data mining. However, traditional association rule is relatively weak in semantic representation. To address it, the main contributions of this paper included: (1) proposing formal concepts on hDimensional Enhanced Semantic Association Rule (h-DESAR) with selfcontained logic operator; (2) proposing the h-DESAR mining method based on Immune-based Gene Expression...
متن کاملPortfolio Investment Based on Gene Expression Programming
A novel method of stock portfolio management by using technical indicators is proposed in this paper. The method hybridizes the consensus trading signals generated by the gene expression programming (GEP) proposed by Lee et al., and the portfolio redemption scheme proposed by Tsai et al. with our stock ranking functions. The indicators were used not only for trading, but also for selecting prom...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0146698