- Data Warehousing Data Mining And Olap Alex Berson Pdf Download
- Data Warehousing Data Mining And Olap Alex Berson Pdf Download
- Data Warehousing Data Mining And Olap Alex Berson Pdf Free Download
Data Warehousing, Data Mining, & Olap Berson No preview available - 2004. Alex Berson For Data Warehouse.pdf Free Download Here. Tratado De Cardiologia Braunwald Pdf Gratis. Data warehousung,Data Mining and OLAP, Alex Berson,smith.j. The Data Mining Techniques and Applications: An Introduction, Hongbo Du, Cengage Learning. Recognizing the pretentiousness ways to get this ebook data warehousing mining and olap management alex berson is additionally useful. You have remained in right site to begin getting this info. Get the data warehousing mining and olap management alex berson join that we pay for here and check out the link. You could buy guide data warehousing.
Warehousing data is based on the premise that the quality of a manager's decisions is based, at least in part,on the quality of his information. The goal of storing data in a centralized system is thus to have the means to provide them with the right building blocks for sound information and knowledge. Data warehouses contain information ranging from measurements of performance to competitive intelligence (Tanler 1997).
Data mining tools and techniques can be used to search stored data for patterns that might lead to new insights. Furthermore, the data warehouse is usually the driver of The knowledge discovery aspect is emphasized by Bali et al (2009), since the management of this new knowledge falls within the KM discipline.
It is beyond the scope of this site to offer an in-depth look at the data mining process. Instead, I will present a very brief overview, and point readers that are interested in the technical aspects towards free sources of information.
Data Warehousing Data Mining And Olap Alex Berson Pdf Download
Very briefly, data mining employs a wide range of tools and systems, including symbolic methods and statistical analysis. According to Botha et al (2008), symbolic methods look for pattern primitives by using pattern description languages so as to find structure. Statistical methods on the other hand measure and plot important characteristics, which are then divided into classes and clusters.
Data mining is a very complex process with different process models. One is the CRoss-Industry Standard Process for Data Mining (or Crisp-DM). The process involves six steps (Maraban et al, in Karahoca & Ponce 2009):
Business understanding -> data understanding -> data preparation -> modeling -> evaluation -> deployment
For more on data mining see the book 'Data Mining and Knowledge Discovery in Real Life Applications', edited by Ponce & Karahoca (2009), available for free from intechopen.com where numerous other potentially relevant resources can also be downloaded.
Data Visualization
This process involves representing data and information graphically so as to better communicate its content to the user. It is a way to make data patterns more visible, more accessible, easier to compare, and easier to communicate. Data visualization includes graphical interfaces, tables, graphs, images, 3D presentations, animation, and so on (Turban & Aaronson in Parankusham & Madupu 2006).
Data Warehousing Data Mining And Olap Alex Berson Pdf Download
DSS are other tools used in conjunction with warehousing data. These are discussed in the following subsection.
Data Warehousing Data Mining And Olap Alex Berson Pdf Free Download
2010 - Updated 2018