Data Mining Fundamentals
DM Defined Is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner
Process of analyzing data from different perspectives and summarizing it into useful information
A class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior.
DM Defined The relationships and summaries derived are referred to as models or patterns. Examples include linear equations, rules, clusters, graphs, tree structures and recurrent patterns in time series.
Utilizes observational data as opposed to experimental data. Data that have already …show more content…
• Present the data in a useful format, such as a graph or table.
Seeking relationships
The process should aim at accurate, convenient and useful summaries.
The steps are as follows:
• Determine the nature and structure of the representation to be used
• Decide how to quantify and compare how well different representations fit the data (choosing the score function)
• Choose an algorithmic process to optimize the score function
• Decide what principles of data management are required to implement the algorithm efficiently.
Seeking relationships: example In simple regression, one can build a predictive model to relate the predictor variable, X to a response variable Y through a relationship Y = aX + b. e.g. we might build a model which would allow us to predict a persona’s annual credit card spending given their annual income. Not perfect but good for a rough characterization.
Step wise:
• The representation is a model in which the response variable, spending, is linearly related to the predictor variable, income.
• The score function: the sum of squared discrepancies between predicted spending and observed spending in group of people described by the data
• The optimization algorithm is quite simple: a and b are expressed as explicit functions of the observed values of spending and income
• Unless the data set is

Data Mining And Multimedia Data
2897 Words  12 PagesABSTRACT Data mining is a popular technology for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semistructured data. These data are stored in multimedia database, multimedia mining which is used to find information from large multimedia database system, using multimedia techniques and powerful tools. This paper analyzes about the use of essential…

Data Warehousing And Data Mining
1847 Words  8 PagesData Warehousing and Data Mining Data Warehousing also known in many industries as an Enterprise Data Warehouse is a system that contains a central repository of integrated data, often collected from multiple sources and is used to perform data analysis enabling the creation of detailed reports that contribute significantly to a corporation’s business intelligence. Data Warehousing emerged as a result of advances in the field of information systems over the last several decades. There are two major…

Data Mining Of Personal Data
1608 Words  7 Pagestarget market. There are many ways to find information about customer preferences, the most effective being a process called ‘data mining.’ Data mining is “obtaining detailed, realtime customer information via internal databases” (Morris & Pharr, Invasion of privacy: A dilemma for marketing research and database technology, 1992, p. 11). A relatively new practice, data mining for marketing has increasingly brought the business and information technology fields together. However, it has also become…

Data Warehousing and Data Mining
1319 Words  6 PagesData Warehousing and Data mining December, 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means…

Data Mining
1668 Words  7 PagesData Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information  information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified…

Data Analysis : Data Mining
1567 Words  7 PagesIntroduction Data, Data everywhere. It is a precious thing that will last longer than the systems. In this challenging world, there is a high demand to work efficiently without risk of losing any tiny information which might be very important in future. Hence there is need to create large volumes of data which needs to be stored and explored for future analysis. I am always fascinated to know how this large amount of data is handled, stored in databases and manipulated to extract useful information…

Data Analysis : Data Mining
1398 Words  6 PagesLiverpool defines data mining “as a set of mechanisms and techniques, realized in software, to extract hidden information from data" [1]. Data mining ventures to make it easier for humans to make decisions by making data easier to manage and patterns easier to find. With more information, humans can make better business and financial decisions. The term was first written down in the 1980’s and has sense then become one of the fastest growing components of the computer science world. Data Architects make…

Data Mining
2058 Words  9 PagesData Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8, 2013 Introduction Data mining, or knowledge discovery, is the computerassisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge driven decisions Although data mining is still…

Data Mining
16277 Words  66 PagesAbstract. Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since…

Data Mining
2046 Words  9 PagesChapter 1 Exercises 1. What is data mining? In your answer, address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead, the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus, data mining can be viewed as the result of…
More about Data Mining Fundamentals

Data Mining And Multimedia Data
2897 Words  12 Pages 
Data Warehousing And Data Mining
1847 Words  8 Pages 
Data Mining Of Personal Data
1608 Words  7 Pages 
Data Warehousing and Data Mining
1319 Words  6 Pages 
Data Mining
1668 Words  7 Pages 
Data Analysis : Data Mining
1567 Words  7 Pages 
Data Analysis : Data Mining
1398 Words  6 Pages 
Data Mining
2058 Words  9 Pages 
Data Mining
16277 Words  66 Pages 
Data Mining
2046 Words  9 Pages