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XMART is a retail company that has sold more than 5,500 products. The company intends to increase sales of products with a promotion. XMART has a history of sales up to more than 10,000,000 records. The data can then be processed with the technique used association rules by applying a priori algorithm to obtain the value of the support and confidence of every association rules. The association rules...
The diversity of components in electricity distribution grids makes it impossible, or at least very expensive, to deploy monitoring and fault diagnostics to every individual element. Therefore, power distribution companies are looking for cheap and reliable approaches that can help them to estimate the condition of their assets and to predict the when and where the faults may occur. In this paper...
In this paper, we propose a novel profit-based metric for pattern mining. The objective is for companies to maximize their profits by offering the correct assortment of products with high margins in marketing campaigns. Based on the proposed metric, a sales campaign can accurately target/recommend the products that will translate to higher profits for a company to its customers. Moreover, if a sales...
With the advent of smart grids, the volume of data from metering and information about consumers to be storaged and analysed by the distribution companies will be very large, mainly due to the use of advanced metering infrastructure and digital meters with automatic readers. This new scenario has stimulated these companies to develop intelligent computing systems which can handle data and information...
Event is a widely used concept these years. Many areas such as Natural Language Process, Information Retrieval have used event as the basic information unit in their research. So, the mining of event association is very necessary for our research. And it plays an important role business intelligence and researches of relations between events. Usually events are associated with others when they often...
In this paper, the stocks grouped under different sector indices under National Stock Exchange (NSE) of India are analyzed to identify any interesting relations among the sectors. Concept of Association rules is used for this analysis. Stocks are grouped into sectors based on their operations/industrial classification. Owing to their similarity in every context stock prices within a sector generally...
In recent years with the rapid growth of e-commerce and the large amounts of data collected through operational transactions, data mining techniques are becoming more useful to discover and understand unknown customer patterns. In the past, data mining has been used to find out which products are related in terms of having high sales and also ascertain which customers deserve credit facilities. There...
Offers on e-commerce websites have been mostly a decision made by companies for advertising or clearing stocks. KAAL algorithm was used on sample transaction data to generate frequent itemsets. These frequent itemsets will give an idea of offers to be made on purchase of base items. With advent of internet, the amount of data being generated by business processes is growing exponentially. This paper...
Currently packaging design needs more a computational processing roles and became the fundamental selling art of products. Design of packaging is very subjective and company needs to understand customer's behavior, perception and attractiveness. Challenges arise when marketing in fast moving consumer goods is getting very dynamic and competitive. Computational needs to identify customer's perception...
SMEs are encouraged to collaborate for research and innovation in order to survive in tough global competition. Even the technology SMEs with high knowledge capital have the fear to collaborate with other SMEs or bigger companies. This study aims to illuminate the preferences in customer, supplier and competitor collaboration within industry or inter industry. A survey is run on more than 110 companies...
Electric commerce is a fire-new business mode, and data mining is a promising new technology to transact information. With business information and data being increased exponentially, it is becoming a hot issue for corporations to analyze and utilize the information. This paper firstly describes international trade e-commerce, and discusses the function and the process of data mining. At last, it...
Vocational skill training aims to teach students more knowledge and skills from professional knowledge, general knowledge, practice skill, and behavioral capacity, and plays an important role for the students to obtain employment. In this paper, we propose a practical and effective approach, in which we first analyze the correlation between students' achievement with their employment situation (i...
In this paper, a pattern trend-based data mining approach has been proposed which convert the numeric stock data to symbolic notations, carries out association analysis through comparative study of apriori and proposed modified reverse apriori concepts and further applies the mined rules in predicting the movement of prices. Application of modified reverse apriori has shown drastic reduction in the...
One of the oldest problem in data mining is the market basket problem, the search for meaningful associations in customer purchase data. Currently, the Sport Company has an issue on sport items arrangement in accordance with customer purchasing pattern. They noticed that, the sales of certain products become decrease when they made some arrangement to the shelves. The Sport Company do not have any...
Stock exchanges have a major impact on Indonesia economy condition as well as on the global economy. Stock activities forecasting is still a challenging issue which is a high demand for stock actors. Therefore, there is still a need to develop an application that is capable to accurately predict directions of stock price movement. This research proposes a data mining technique to model relationship...
This paper proposes a conceptual framework for privacy preserving of association rule mining in e-commerce and a novel heuristic approach for association rule hiding based on intersection lattice theory. Our approach relies on characteristics of intersection lattice and frequent itemsets to specify exactly victim items in such a way that modifying them leads to reduction of confidence of the sensitive...
Data mining is a key technology to get useful knowledge, This paper discusses the data mining association rules' important role in online shopping, through discussing, building and analysis ing the model based on actual data, obtain that data mining association rules are playing an more and more important role in every aspects of our life and make a forecast to the future development.
Social network structure affects the spread and penetration of information, thus to a large extent is advantageous to the promotion of knowledge innovation. This paper analyzes the network structure of the alliance network among Chinese enterprises, and through the association rules mines and then analyzes the impact that the network structure of innovation alliance network has on the innovation performance...
This text analyses present data mining technology based on association rule, carrying on an improvement to Apriori of frequency set method, and put forward to a multi-dimensional Apriori algorithm without producing candidates for election, according to which, give a investigation of data of undergraduate employment instruction center recent years of Jiamusi university. The result manifests that the...
Stock trading is a popular approach for money investment. This paper focuses on Thai stock market which has hundreds of individual stocks. The aim of this paper is to apply an association rule mining technique for discovering the relationships between individual stocks. The transactional dataset used to generate the rules consists of 242 trading days from 4 January 2010 to 30 December 2010. The results...
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