In this paper we present a model to predict the stock trend based on a combination of
sequential chart pattern, A-means and AprioriAll algorithm. The stock price sequence is …

The approach stated in this paper mainly focuses on minimizing the length of the transaction
table of the stock market, based on some common features among the attributes which …

Planning stock portfolios is a challenging task, because investors have to forecast stock
market trends. To limit losses due to wrong forecasts a common strategy is diversification …

In this paper we present a model to predict the stock trend based on a combination of
sequential chart pattern, K-Means and AprioriAll algorithm. The stock price sequence is …

The objective of this research is to classify or forecast the stock market from the general
investor's point of view. There are three parts in this research. In the first part we performed a …

Estimation of the economy of a developed country is affected by the performance of share
market of the country. Predicting stock prices has been a major research challenge. There is …

In this research we mainly focus on overcoming the drawbacks in FITI approach in predicting
the stock market and propose a new approach called fragment based mining which gives …

Investing in stock market is not an easy task. It needs careful decision making skills to
maintain profit in the long run. Though many research works are available to guide the …

Cryptographic approaches are traditional and preferred methodologies used to preserve the
privacy of data released for analysis. Privacy Preserving Data Mining (PPDM) is a new trend …

Our targets are to show signs of improvement basic leadership for enhancing deal,
administrations and quality, which is helpful instrument for business support, speculation …