Xin vui lòng xem hình 15-5 cho thấy lược đồ và một đại diện ba chiều của mô hình như một khối lập phương, với các sản phẩm trên trục X, thời gian trên trục Y, và các cửa hàng trên trục-Z. Các giá trị đại diện dọc theo mỗi trục là gì? Ví dụ, trong lược đồ STAR, thời gian là một trong những kích thước và tháng là một trong những thuộc tính của chiều thời gian. | MAJOR DATA MINING TECHNIQUES 409 Application Area Examples of Mining Functions Mining Processes Mining Techniques Fraud Detection Credit card frauds Internal audits Warehouse pilferage Determination of variations from norms Data Visualization Memory-based Reasoning Risk Assessment Credit card upgrades Mortgage Loans Customer Retention Credit Ratings Detection and analysis of links Decision Trees Memory-based Reasoning Market Analysis Market basket analysis Target marketing Cross selling Customer Relationship Marketing Predictive Modeling Database segmentation Cluster Detection Decision Trees Link Analysis Genetic Algorithms Figure 17-9 Data mining functions and application areas. and mining techniques. Using the figure try to understand the connections. Please study the following statements Data mining algorithms are part of data mining techniques. Data mining techniques are used to carry out data mining functions. While performing specific data mining functions you are applying data mining processes. A specific data mining function is generally suitable to a given application area. Each application area is a major area in business where data mining is actively used now. We will devote the rest of this section to discussing the highlights of the major functions the processes used to carry out the functions and the data mining techniques themselves. Data mining covers a broad range of techniques. This is not a textbook on data mining and a detailed discussion of the data mining algorithms is not within its scope. There are a number of well-written books in the field and you may refer to them to pursue your interest. Let us explore the basics here. We will select six of the major techniques for our discussion. Our intention is to understand these techniques broadly without getting down to technical details. The main goal is for you to get an overall appreciation of data mining techniques. Cluster Detection Clustering means forming groups. Take the very ordinary .
