data mining techniques arun k pujari ppt

... recent data into the neural network One way is to take the same neural network back to training mode and start feed­ing it new values This is a good approach if the network only needs to tweak results ... black boxes with internal work­ings as mysterious as the workings of our brains Like the responses of the Oracle at Delphi worshipped by the ancient Greeks, the answers produced by neural networks ... 2Artificial Neural Networks Artificial neural networks are popular because they have a proven track record in many data mining and decision-support applications Neural networks— the “artificial”

Ngày tải lên: 21/06/2014, 04:20

... Automatic cluster detection is an undirected data mining technique that can be used to learn about the structure of complex databases By breaking com­ plex datasets into simpler clusters, automatic ... statistical background of survival analysis is focused on extracting every last bit of information out of a few hundred data points In data mining applications, the volumes of data are so large ... clustered contain non-numeric data One of the most popular algorithms for automatic cluster detection is K-means The K-means algorithm is an iterative approach to finding K clusters based on distance

Ngày tải lên: 14/08/2014, 11:21

... new features of the data, for use in conjunction with other directed data mining techniques Trang 4Automatic Cluster Detection The data mining techniques described in this book are used to find ... characteristics that can be used for further mining Some data and data mining problems naturally involve links As the two case studies about telephone data show, link analysis is very useful for telecommunications—a ... the links helps to better understand what is happening Link analysis offers an alternative way of looking at data, different from the formats of relational databases and OLAP tools Links may

Ngày tải lên: 21/06/2014, 04:20

... Automatic cluster detection is an undirected data mining technique that can be used to learn about the structure of complex databases. By breaking com- plex datasets into simpler clusters, automatic ... statistical background of survival analysis is focused on extracting every last bit of information out of a few hundred data points. In data mining applications, the volumes of data are so large ... the life table method, and it works well with discrete time data A very similar method, called Kaplan-Meier, is used for continuous time data The two techniques produce almost exactly

Ngày tải lên: 21/06/2014, 04:20

... pernicious data problem are the ones you don’t know All of these cases are examples where dirty data could be identified The biggest problems in data mining, though, are the unknown ones Sometimes, data ... variables (where the binning breakpoints are determined first by looking at the entire set of data) and standardization However, data mining tools are generally weak on looking up values and doing aggregations ... identified, it is possible to work around them The biggest problems are the unknown ones—data that looks correct but is wrong for some reason Many data mining efforts have to use data that is less than

Ngày tải lên: 21/06/2014, 04:20

... Decision Trees as a Data Exploration Tool During the data exploration phase of a data mining project, decision trees are a useful tool for picking the variables that are likely to be important ... nineteen-eighties, that became part of several commercial data mining software packages The problem is that just by breaking the larger data set into many small subsets , the number of classes ... task of analyzing trends in historical data in order to predict future behav­ ior recurs in every domain we have examined One of our clients, a major bank, looked at the detailed transaction data

Ngày tải lên: 21/06/2014, 21:20

... where market basket analysis can help to describe the differences and serve as an example of using market basket analysis for directed data mining How can association rules be used to make these ... percentage of market baskets containing both products Such graphs provide an approach for solving problems in market basket analysis and are also a useful means of visualizing market basket data This ... relationships that are known (or should be known) to exist And inexplicable rules simply do not make sense Inexplicable rules often have weak support Trang 9320 Chapter 9 Market basket analysis and

Ngày tải lên: 21/06/2014, 21:20

... good guys!) drink soda or open the refrigerator—Coke products are likely to be there Coke also has exclusive arrangements with Disney, so Disney serves Coke products at its theme parks, in its hotels, ... in its hotels, and on its cruises There are hundreds of people working together to make this branding triumvirate work Data mining, with even the most advanced algorithms on even the fastest ... Private banking groups in retail banks work with high net-worth individuals, and give them highly personalized service— usually with a named banker managing their relationship When a private banking

Ngày tải lên: 21/06/2014, 21:20

... we prefer to see data mining centered in the business units What to Look for in Data Mining Staff The best data mining groups are often eclectic mixes of people Because data mining has not existed ... of data mining by allowing new knowledge discovered through data mining to be fed directly to the systems that interact with customers Data Mining Software One of the ways that the data mining ... consultants Data Mining Infrastructure In companies where data mining is merely an exploratory activity, useful data mining can be accomplished with little infrastructure A desktop workstation

Ngày tải lên: 21/06/2014, 21:20

... need to be identified so the behavior of the market research participants is known Most of the directed data mining techniques discussed in this book can be used to build a classification model ... peaks, and the proportion of calls the number makes to known businesses Each day’s new data adjusts the score In practice, the score is a weighted aver­ age over time with the most recent data ... when planning a test; some­ times these hitches make it impossible to read the results Data Is Censored and Truncated The data used for data mining is often incomplete, in one of two special

Ngày tải lên: 14/08/2014, 11:21

... Decision Trees as a Data Exploration Tool During the data exploration phase of a data mining project, decision trees are a useful tool for picking the variables that are likely to be important ... nineteen-eighties, that became part of several commercial data mining software packages The problem is that just by breaking the larger data set into many small subsets , the number of classes ... SPSS’s Clementine data mining suite to forecast diesel engine sales based on historical truck registration data The goal was to identify individual owner-operators who were likely to be ready

Ngày tải lên: 14/08/2014, 11:21

... Trang 1DATA MINING TECHNIQUES IN GENEEXPRESSION DATA ANALYSIS XIN XU NATIONAL UNIVERSITY OF SINGAPORE 2006 Trang 2DATA MINING TECHNIQUES IN GENE EXPRESSION DATA ANALYSISDEPARTMENT ... supervised data miningmethods include class association rule mining and classification while unsuperviseddata mining methods mainly refer to the various clustering methods Class association rule mining ... methods Class association rule mining is one well-known data mining task Eachrow of the expression data matrix involved in class association rule mining corre-sponds to a sample or a condition while

Ngày tải lên: 15/09/2015, 17:09

... state of the art methods as a benchmark We apply this framework to datasets from three different and popular online social networks (Facebook, Orkut, and Flickr) to determine which of the proposed ... theoretical modelling and data-mining techniques in order to improve the accuracy of the anomaly detection techniques in graph data such as that found in online social networks The objective of this ... novel hybrid data-mining based approaches within a multi-layer framework to find anomalies in structural data of online social networks Trang 341.4 CONTRIBUTION TO THE BODY OF KNOWLEDGE This

Ngày tải lên: 07/08/2017, 15:46

... OLAP Data 7 4.2 Metadata Repository 8 4.3 Data Warehouse Back-end Tools 8 4.4 Views and Data Warehouse 10 5.Commercial Data Warehouse Tools 11 6.FromData Warehousing to Data Mining 11 6.1 Data Mining ... attack scenarios and high level attack strategies for large networks Trang 8This book is the result of hard work by many people First, I would like to thank Prof Vipin Kumar and Prof Wenke Lee ... Data Mining Techniques 12 6.2 Research Issues in Data Mining 14 6.3 Applications of Data Mining 14 6.4 Commercial Tools for Data Mining 15 7.Data Analysis Applications for NetworkyWeb Services

Ngày tải lên: 23/10/2019, 15:33

... this book is to provide the reader with an idea of data miningtechniques in sensor networks We have taken special care to illustrate the impact v Trang 6of data mining in several network applications ... expandCluster(C k , Z k k , Z k]Require:C k: the node cluster Require:Z k: the trend polyline prototype ofC k Require: u: the seed node for the cluster expansion Ensure:[C k , Z k]: the expanded ... The data snapshots, which are acquired from a geosensor network K , produce a geodata stream (see Fig.1.1) Definition 1.2 (Geodata stream) In a geodata stream z (T, K ) the input elements K t1,

Ngày tải lên: 23/10/2019, 16:13

... variables, 554 KDD (knowledge discovery in databases), 8 Kimball, Ralph (The Data Warehouse Toolkit), 474 Kleinberg algorithm, link analysis, 332–333 K- means clustering, 354–358 knowledge discovery ... discussed, 7 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns, 5 for decision support, 13 discussed, 4 database ... level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and Data Mining (Dorian Pyle), 60 Data Preparation for Data Mining (Dorian Pyle), 75 The Data...

Ngày tải lên: 21/06/2014, 04:20

... in several areas: ■■ Data miners tend to ignore measurement error in raw data. ■■ Data miners assume that there is more than enough data and process- ing power. ■■ Data mining assumes dependency ... 11:11 AM Page 159 The Lure of Statistics: Data Mining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the data mining approach differs from the standard ... potentially represent spurious patterns that might be picked up by data mining algorithms. One major difference between business data and scientific data is that the latter has many continuous values...

Ngày tải lên: 21/06/2014, 04:20