Data Mining Privacy Preservation Techniques in Stock Market Data Analysis
نویسنده
چکیده
Therefore we can predict the stock market variations such that which companies share value in next time will go high or low. This technology is designed to help investors to discover hidden patterns from the historic data that have probable predictive capability in their investment decisions. The prediction of stock markets is a challenging task of financial time series prediction. Data analysis is one way of predicting if future stocks prices will increase or decrease. Five indications analyzing stocks were combined to predict 15
منابع مشابه
Designing a smart algorithm for determining stock exchange signals by data mining
One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their lat...
متن کاملA Survey on Privacy Preserving Association Rule Mining of Outsourced Databases
Data mining finds useful patterns from the large dataset. Data analysis techniques that are frequent itemset mining and association rule mining are two popular and broadly utilized for different applications. Personal or sensitive information of individuals, industries or organizations must be kept private before it is shared for the data mining. Hence privacy preserving data mining has become ...
متن کاملAnonymization Based on Nested Clustering for Privacy Preservation in Data Mining
Privacy Preservation in data mining protects the data from revealing unauthorized extraction of information. Data Anonymization techniques implement this by modifying the data, so that the original values cannot be acquired easily. Perturbation techniques are variedly used which will greatly affect the quality of data, since there is a trade-off between privacy preservation and information loss...
متن کاملA Survey of Cryptographic and Non-cryptographic Techniques for Privacy Preservation
Cryptography is to become familiar with the requirement of large, complex, information rich data sets for it’s privacy preservation. The privacy preserving data mining has been generated; to go through the concept of privacy in data mining is hard. Several algorithms and approaches are being generated theoretically, but practically it is hard. Privacy in data mining can be achieved through seve...
متن کاملPrincipal Component Analysis Based Transformation for Privacy Preserving in Data Stream Mining
Data stream can be conceived as a continuous and changing sequence of data that continuously arrive at a system to store or process. Examples of data streams include computer network traffic, phone conversations, web searches and sensor data etc. The data owners or publishers may not be willing to exactly reveal the true values of their data due to various reasons, most notably privacy consider...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016