TicTacToe  Data Mining
My goal is to find the probability of wining in tictactoe game given that you make the first move. To obtain hypothesis bases on my goal I have to state some conditions and facts on the game. They are: 1) There are 362, 880 ways of placing O’s and X’s. 2) When X make first move, possibility of X winning is 131,184, O winning is 77, 904, and 46, 080 tied games (Source: http://en.wikipedia.org/wiki/Tictactoe). After eliminating rotations and/or reflections of other outcomes, there are only 138 unique outcomes. X won 91 times, O won 44 times and 3 ties (Source: http://en.wikipedia.org/wiki/Tictactoe). Basically, the win of X is the concept. There are 8 possible ways of creating three X in row. Based on this my hypothesis …show more content…
Interpretation of the results (from Data Mining)
When talking about interpreting the results, first we have to check whether the formed classes are solid one. To do this we have to check whether the class resemblance score which should be higher than the domain resemblance score. In this case both Positive and Negative class has score higher than the domain resemblance score. They are only slightly higher because of the nature of the values of the attribute. The scores are shown below. When we look at the domain statistics for the categorical attributes we can see the predictability score for all the attribute value X is more than the predictability score of other two possible values of O (other player move) and b (blank). The scores are shown below. When we examine the class individually I found that the attribute value highly sufficient for being class membership is MM = X, and the attribute

Data Mining Essay
1495 Words  6 Pageshas with a customer or supplier likely generates a data trail and this data provides a wealth of information for marketers. Extracting that information and getting it into usable shape requires sophisticated data mining tools. One example of this technology is the used by police departments to identify patterns in crime. We will define, explain and discuss main aspects of data mining. Also its benefits and negative issues. What is Data? Data is defined as facts, concepts, information, or instructions…

Data Warehousing and Data Mining
5139 Words  21 PagesData Warehouses and Data Marts: A Dynamic View file:///E/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone, Ph.D. White Paper No. Three March 27, 1997 Patterns of Data Mart Development In the beginning, there were only the islands of information: the operational data stores and legacy systems that needed enterprisewide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant…

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 and Knowledge Discovery
1385 Words  6 PagesRule induction is one of the major forms of data mining and is perhaps the most common form of knowledge discovery in unsupervised learning systems. It is also perhaps the form of data mining that most closely resembles the process that most people think about when they think about data mining, namely “mining” for gold through a vast database. The gold in this case would be a rule that is interesting  that tells you something about your database that you didn’t already know and probably weren’t…

Data Mining Information
4566 Words  19 Pages1 Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the process…

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 Mining in Homeland Security
4641 Words  19 PagesDATA MINING IN HOMELAND SECURITY Abstract Data Mining is an analytical process that primarily involves searching through vast amounts of data to spot useful, but initially undiscovered, patterns. The data mining process typically involves three major stepsexploration, model building and validation and finally, deployment. Data mining is used in numerous applications, particularly business related endeavors such as market segmentation, customer churn, fraud detection, direct marketing, interactive…

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 TicTacToe  Data Mining

Data Mining Essay
1495 Words  6 Pages 
Data Warehousing and Data Mining
5139 Words  21 Pages 
Data Warehousing and Data Mining
1319 Words  6 Pages 
Data Mining and Knowledge Discovery
1385 Words  6 Pages 
Data Mining Information
4566 Words  19 Pages 
Data Mining
1668 Words  7 Pages 
Data Mining in Homeland Security
4641 Words  19 Pages 
Data Mining
2058 Words  9 Pages 
Data Mining
16277 Words  66 Pages 
Data Mining
2046 Words  9 Pages