are the main challenges in Big Data. Data mining discover patterns from large data set. Data mining with Big data is a complex task. Here HACE theorem is proposed which finds Complex and Evolving relationships among data. It finds the characteristics
This huge amount of data needs to be used either for business growth or scientific discoveries. The process of discovering the patterns and relationships in data using the analysis tools is called Data Mining. The simplest form of data mining is as follows: 1. Describing
Many other terms are being used to interpret data mining, such as knowledge mining from databases, knowledge extraction, data analysis, and data archaeology. Data mining is one of the provoking and significant areas of research. Data mining is implicit and non-trivial task of identifying the viable, novel, inherently efficient and perspicuous patterns of data. Figure 1 represents the data mining as part of KDD process. The hidden relationships and trends are not precisely distinct from reviewing the data.
1.7.8 Analytics and Business Intelligence A key strategic driver of implementing a NoSQL database environment is the ability to mine the data that is being collected so as to derive insights that puts your business at a competitive advantage. Extracting meaningful business intelligence from very high volumes of data is a very difficult task to achieve with traditional relational database systems. Modern NoSQL database systems not only provide storage and management of business application data but also deliver integrated data analytics that deliver instant understanding of complex data sets and facilitate flexible
However the theoretical method can help in finding new mathematical models or theories, but this method still needs other methods to prove the efficiency of the new models or theories. 4. Qualitative Method: Qualitative research methods are being used increasingly in evaluation studies, including evaluations of computer systems. These methods are used to understand the perception of an information system by its users, the context within which the system is implemented and the processes by which outcomes are generated. Qualitative research method is a method dealing with phenomena that are difficult or impossible to quantify mathematically, such as beliefs, meanings, attributes, and symbols.
Auditors also create standard procedures for change management e.g. new software development software upgrade (applying patches), procedures for managing increasing volume of enterprise data in big data analytics, procedures for developing new security tools and application (cyber security & network security) and finally procedures for managing cloud computing/virtualization activities. In conclusion, managing all these with objective audit documentation and evidence approach while adhering to compliance requirements can be tasking. However with the help of audit tools, IT and analytical skills the internal auditor can ease
From natural resources management to environmental regulation and medical innovations to economic alleviation, information systems have the ability to transcend political, geographical & temporal barriers, and craft revolutionizing solutions. Techniques like statistics, data mining and machine learning enable predictive analytics which allow estimation of outcomes before
Data mining has emerged as an important method to discover useful information, hidden patterns or rules from different types of datasets. Association rule mining is one of the dominating data mining technologies. Association rule mining is a process for finding associations or relations between data items or attributes in large datasets. Association rule is one of the most popular techniques and an important research issue in the area of data mining and knowledge discovery for many different purposes such as data analysis, decision support, patterns or correlations discovery on different types of datasets. Association rule mining has been proven to be a successful technique for extracting useful information from large datasets.
DATA MINING IN INSTITUTIONAL DEDUCTION DATA MINING: Data mining is a process of analyzing data from different perspectives and summarizing it into useful information. Data are any facts, numbers, text that can be processed by a computer. The patterns, associations, or relationships among all collected data can provide information. Information can be converted into knowledge about historical patterns and future trends. To maximize user access and analysis there needs to be a centralization of data in a data warehouse.
DATA MINING IN TELECOMMUNICATION NIKHILA.C.P, KRISHNENDU.N.S, LIDIYA MARY ANTONY, DEPARTMENT OF COMPUTER SCIENCE ST JOSEPH’S COLLEGE IRINJALAKUDA ABSTACT Data mining is a process of extracting information from large amount of data and transform it into an understandable structure for further use. Telecommunication companies generate a great amount of data including call details, describing the calls that traverse the telecommunication networks, network data, describing the state of the hardware and software components in the network, and customer data, describing the telecommunication customers. This survey paper describes how data mining can be used to extract useful information buried within these data sets. Data