data mining techniques and applications an introduction

... C C (2013) Outlier Analysis Springer Aggarwal, C C., & Wang, H (2010) Graph Data Management and Mining: A Survey of Algorithms and Applications In Managing and Mining Graph Data (pp 13-68) Springer ... on Advances in Social Networks Analysis and Mining, Niagara, Ontario, Canada Tan, P N., Steinbach, M., & Kumar, V (2005) Introduction to data mining Pearson Addison Wesley Tandon, G., & Chan, P ... Detection In Online Social Networks: Using data- mining Techniques and Fuzzy Logic i ii Anomaly Detection In Online Social Networks: Using data- mining Techniques and Fuzzy Logic Abstract The Online Social

Ngày tải lên: 07/08/2017, 15:46

... feature ranking and discretization IEEE Transactions on Knowledge and Data Eng., 9(5):718-730 Joshi, M.V., Karypis, G., and Kumar, V., 1998 ScalParC: A new scalable and. .. and ACM, and ... performance and wide area data mining systems for over ten years. More recently, he has worked on standards and testbeds for data mining. He has an AB in Mathematics from Harvard University and ... Transactions of Data and Knowledge Engineering during 93-97... R., Imielinski, T., and Swami, A 1993 Database mining: A performance perspective IEEE Transactions on Knowledge and Data

Ngày tải lên: 01/06/2014, 09:18

... Friedman [HTF01], Data Mining: Introductory and Advanced Topics by Dunham [Dun03], Data Mining: Multimedia, Soft Computing, and Bioinformatics by Mitra and Acharya [MA03], and Introduction to Data ... Mining? 1.3 Data Mining? ??On What Kind of Data? 1.3.1 Relational Databases 10 1.3.2 Data Warehouses 12 1.3.3 Transactional Databases 14 1.3.4 Advanced Data and Information Systems and Advanced Applications ... Witten and Frank [WF05], Principles of Data Mining (Adaptive Computation and Machine Learning) by Hand, Mannila, and Smyth [HMS01], The Elements of Statistical Learning by Hastie, Tibshirani, and

Ngày tải lên: 08/08/2014, 18:22

... Mean Median Mode Mode Mean Median (a) symmetric data (b) positively skewed data Mean 53 Mode Median (c) negatively skewed data Figure 2.2 Mean, median, and mode of symmetric versus positively and ... tendency and dispersion of the data Measures of central tendency include mean, median, mode, and midrange, while measures of data dispersion include quartiles, interquartile range (IQR), and variance ... languages like SQL can be used to specify relational queries, a data mining query language can be used to specify data mining tasks In particular, we examine how to define data warehouses and data

Ngày tải lên: 08/08/2014, 18:22

... consistent and reliable manner To design an effective data warehouse we need to understand and analyze business needs and construct a business analysis framework The construction of a large and complex ... output reports, and ship metadata to and from relational database system catalogues Planning and analysis tools study the impact of schema changes and of refresh performance when changing refresh ... database performance, and data warehouse enhancement and extension Scope management includes controlling the number and range of queries, dimensions, and reports; limiting the size of the data warehouse;

Ngày tải lên: 08/08/2014, 18:22

... rule mining discussed in this chapter were studied by Ng, Lakshmanan, Han, and Pang [NLHP98], Lakshmanan, Ng, Han, and Pang [LNHP99], and Pei, Han, and Lakshmanan [PHL01] An efficient method for mining ... association mining was studied in Han and Fu [HF95], and Srikant and Agrawal [SA95] In Srikant and Agrawal [SA95], such mining was studied in the context of generalized association rules, and an R-interest ... of quantitative attributes and data cubes was studied by Kamber, Han, and Chiang [KHC97] Mining (distance-based) association rules over interval data was proposed by Miller and Yang [MY97] Mining

Ngày tải lên: 08/08/2014, 18:22

... discretization techniques, such as binning, histogram analysis, and clustering Data cleaning, relevance analysis (in the form of correlation analysis and attribute subset selection), and data transformation ... mechanisms for handling noisy or missing data, this step can help reduce confusion during learning Relevance analysis: Many of the attributes in the data may be redundant Correlation analysis can ... Prediction? A bank loans officer needs analysis of her data in order to learn which loan applicants are “safe” and which are “risky” for the bank A marketing manager at AllElectronics needs data 285

Ngày tải lên: 08/08/2014, 18:22

... subsets D1 , D3 , , Dk and tested on D2 ; and so on Unlike the holdout and random subsampling methods above, here, each sample is used the same number of times for training and once for testing ... nearby points and as inhibitors for points that are further away This means that the clusters in the data automatically stand out and “clear” the regions around them Thus, another advantage is that ... attribute) transformation and feature (or attribute) selection techniques Feature transformation methods, such as principal component analysis5 and singular value decomposition,6 transform the data onto

Ngày tải lên: 08/08/2014, 18:22

... Biological Data Bioinformatics is a promising young field that applies computer technology in molecular biology and develops algorithms and methods to manage and analyze biological data Because DNA and ... prefix b , c , d , e , and f , respectively This can be done by constructing the b -, c -, d -, e -, and f -projected databases and mining them respectively The projected databases as well as the ... subpattern and a backward superpattern A performance comparison of GSP, SPADE, and PrefixSpan shows that PrefixSpan has the best overall performance SPADE, although weaker than PrefixSpan in most

Ngày tải lên: 08/08/2014, 18:22

... graph pattern mining algorithms include gSpan by Yan and Han [YH02], MoFa by Borgelt and Berthold [BB02], FFSM and SPIN by Huan, Wang, and Prins [HWP03] and Prins, Yang, Huan, and Wang [PYHW04], ... component of such databases can be generalized, and how the generalized data can be used for multidimensional data analysis and data mining 10.1.1 Generalization of Structured Data An important feature ... complex object data and perform online analytical processing (OLAP) in such data warehouses, and (2) develop effective and scalable methods for mining knowledge from object databases and/ or data warehouses

Ngày tải lên: 08/08/2014, 18:22

... standard, well-designed database query language), most data mining systems not share any underlying data mining query language Lack of a standard data mining language makes it difficult to standardize ... include the mean, standard deviation, range, count, moving average, moving standard deviation, and moving range 11.3.3 Visual and Audio Data Mining Visual data mining discovers implicit and useful ... standardize data mining products and to 11.2 Data Mining System Products and Research Prototypes 663 ensure the interoperability of data mining systems Recent efforts at defining and standardizing data mining

Ngày tải lên: 08/08/2014, 18:22

... high performance, and an integrated information processing environment for multidimensional data analysis and exploration Standardization of data mining language: A standard data mining language ... a standardized data mining query language, effective methods for finding interesting patterns, improved handling of complex data types and stream data, real-time data mining, Web mining, and so ... Canada, July 2002 Z Tang and J MacLennan Data Mining with SQL Server 2005 John Wiley & Sons, 2005 Z Tang, J MacLennan, and P P Kim Building data mining solutions with OLE DB for DM and XML analysis

Ngày tải lên: 08/08/2014, 18:22

... independent of the data Data Mining Applications mining techniques used to generate the scores It is worth noting, however, that many of the data mining techniques in this book can and have been applied ... that, on a technical level, the data mining effort is working and the data is reasonably accurate This can be quite comforting If the data and the data mining techniques applied to it are powerful ... better models, and try again! This chapter started by recalling the drivers of the industrial revolution and the creation of large mills in England and New England These mills are now abandoned, torn

Ngày tải lên: 14/08/2014, 11:21

... bombarded with messages and becomes irritated and unresponsive Meanwhile, other customers never hear from the company and so are not encouraged to expand their relationships An alternative is to ... determined by product bundling and previous marketing efforts Retention and Churn Customer attrition is an important issue for any company, and it is especially important in mature industries where ... dive into more detail into more modern techniques for building models and understanding data Many of these techniques have been adopted by statisticians and build on over a century of work in

Ngày tải lên: 14/08/2014, 11:21

... For instance, taking the logarithm is a good way of handling values that have wide ranges Another approach is to stan­ dardize the variable, by subtracting the mean and dividing by the standard ... published by Leo Breiman, Jerome Friedman, Richard Olshen, and Charles Stone in 1984 The acronym stands for Classification and Regression Trees The CART algorithm grows binary trees and continues splitting ... simulated annealing and hill climbing require many, many iterations? ?and these iterations are expensive computationally because they require running a network on the entire training set and then

Ngày tải lên: 14/08/2014, 11:21

... 9.5 Probabilities of Three Items and Their Combinations COMBINATION PROBABILITY A 45.0 % B 42.5% C 40.0% A and B 25.0 % A and C 20.0 % B and C 15.0% A and B and C 5.0% 309 310 Chapter 9 Table ... P(CONDITION AND RESULT) CONFIDENCE If A and B then C 25% 5% 0.20 If A and C then B 20% 5% 0.25 If B and C then A 15% 5% 0.33 What is confidence really saying? Saying that the rule “if B and C then ... saying that when B and C appear in a transaction, there is a 33 percent chance that A also appears in it That is, one time in three A occurs with B and C, and the other two times, B and C appear without

Ngày tải lên: 14/08/2014, 11:21

... merely measured in dollars and cents Another important difference is the vol­ ume of data The largest medical studies have a few tens of thousands of par­ ticipants, and many draw conclusions from ... Exactly the opposite: survival analysis is very valuable for understanding customers Although the roots and terminol­ ogy come from medical research and failure analysis in manufacturing, the concepts ... cerns about confidence and accuracy are replaced by concerns about manag­ ing large volumes of data The importance of survival analysis is that it provides a way of understand­ ing time-to-event

Ngày tải lên: 14/08/2014, 11:21

... business needs What Is Data Mining? Data mining, as we use the term, is the exploration and analysis of large quan- tities of data in order to discover meaningful patterns and rules. For the pur- poses ... week of September either, since it has to be collected and cleaned and loaded and tested and blessed. In many companies, the August data will not be available until mid-September or even October, ... that, on a technical level, the data mining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the data mining techniques applied to it are powerful...

Ngày tải lên: 07/04/2014, 11:16

... of FsatPers and FsatSett can help to assess the service quality in a timely and useful manner  Insight about the relative service and product quality of each specific restaurant  Measurement ... applicable to cross cultural analysis  Managerial implications and recommendations  Style: scientific and statistical -7- 18/01/2006 Ulrich Öfele 3. Methodology and Instruments:  Customer Satisfaction ... service quality and enhance growth through increased consumerism -2- 18/01/2006 Ulrich Öfele Overview : 1. Authors and outline of the text 2. Research objectives 3. Methodology and Instruments 4....

Ngày tải lên: 22/12/2013, 02:17

... deeper. Friable and soft sedimentary ores are easier to mine and process than ores in hard magmatic rocks. And finally a continuous and compact ore body is far easier to mine than an ore body that ... the USA and in many other parts of the world). The rare earths and platinum-group metals, on the other hand, are used in many specific applications where they are difficult to replace, and because ... of stockpiles, the introduction of new improved mining and extraction techniques, and the opening of new large high-production mines, particularly in South America and Oceania, made this possible....

Ngày tải lên: 19/02/2014, 22:20