Danh mục

An Empirical Study of Similarity Search in Stock Data

Số trang: 8      Loại file: pdf      Dung lượng: 737.69 KB      Lượt xem: 11      Lượt tải: 0    
Hoai.2512

Phí tải xuống: 4,000 VND Tải xuống file đầy đủ (8 trang) 0
Xem trước 2 trang đầu tiên của tài liệu này:

Thông tin tài liệu:

Financial data are conventionally represented in numeric format for data mining purpose. However, recent works have demonstrated promising results of representing financial data symbolically. For an instance, Kovalerchuk et al. (2002) argues that symbolic relational data mining is more suitable in incorporating background knowledge. Their proposed methodology outperforms numeric financial data in generating IF-Then rules. In (Ting et al. 2006), sequential and non-sequential association rule mining (ARM) were used to perform intra and inter-stock pattern mining, where each stock is represented symbolically based on its performance with respect to a user-defined threshold. Similarly, we...
Nội dung trích xuất từ tài liệu:
An Empirical Study of Similarity Search in Stock Data

Tài liệu được xem nhiều: