Data Mining and Warehousing

Description

Data Mining and Data Warehousing techniques are becoming indispensable parts of business intelligence programmes. Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices such as marketing surveillance, fraud detection and scientific discovery.
Data mining can be used to uncover patterns in data but is often carried out only on samples of data. The mining process will be ineffective if the samples are not a good representation of the larger body of data. Data mining cannot discover patterns that may be present in the larger body of data if those patterns are not present in the sample being ‘mined’. Inability to find patterns may become a cause for some disputes between customers and service provides. Therefore data mining is not foolproof but may be useful if sufficiently representative data samples are collected. An important part of the process is the verification and validation of patterns on other samples of data.
This book will be of immense help to all those contemplating to acquire expert knowledge of Data Mining and Data Warehousing.