data mining techniques and concepts

... ONLINE SOCIAL NETWORKS: USING DATA- MINING TECHNIQUES AND FUZZY School of Electrical Engineering and Computer Science Faculty of Science and Engineering Queensland University of Technology November ... be developed and customised for a specific application by adopting notions from different disciplines such as statistics, machine learning, and data mining Depending on applications and their limitations, ... interested friends and acquaintances, and to share information, photos, and videos This powerful phenomenon, which captures the structure and dynamics of person-to-person and person-to-technology

Ngày tải lên: 07/08/2017, 15:46

... loyalty and customer value as well Team-Fly® Trang 16tisticians and data miners The two disciplines are very similar Statisticians and data miners com­monly use many of the same techniques, and statistical ... invented techniques to handle whatever problem was at hand Statisticians are still practical people who use modern techniques as well as the tried and true 123 Trang 17What is remarkable and a ... both statisticians and data min­ers Our goal is to demonstrate results that work, and to discount the null hypothesis One difference between data miners and statisticians is that data miners are

Ngày tải lên: 14/08/2014, 11:21

... rules: Watch the game and home team wins and out with friends then beer Watch the game and home team wins and sitting at home then diet soda Watch the game and home team loses and out with friends ... less data preparation than many other techniques because they are equally adept at handling continuous and categorical vari­ables Categorical variables, which pose problems for neural networks and ... Time-oriented data does require a lot of data preparation Time series data must be enhanced so that trends and sequential patterns are made visible Decision trees reveal so much about the data to which

Ngày tải lên: 14/08/2014, 11:21

... of information out of a few hundred data points In data mining applications, the volumes of data are so large that statistical con­ cerns about confidence and accuracy are replaced by concerns ... is a start and stop, a decision that often depends on the type of busi­ ness and available data The second challenge is technical: finding these start and stop dates in available data may be ... 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

Ngày tải lên: 14/08/2014, 11:21

... section) and data with outliers removed and smoothed (dataset C, lower section) 111 Figure 5-7: Time-series and correlation plots for raw data, data with outliers removed and data with outliers and ... of ST segment levels in Dataset A, Dataset B and Dataset C for cases in which three ECG leads were monitored 115 Figure 5-15: Box plot of HR in Dataset A, Dataset B and Dataset C for cases in ... medical diagnoses and outcomes This study aims to find predictors of CVD using anaesthesia time-series data and patient risk factor data Several pre-processing and predictive data mining methods

Ngày tải lên: 07/08/2017, 15:52

... 10 5.Commercial Data Warehouse Tools 11 6.FromData Warehousing to Data Mining 11 6.1 Data Mining Techniques 12 6.2 Research Issues in Data Mining 14 6.3 Applications of Data Mining 14 6.4 Commercial ... analyze the data, summarize it and predict future trends Data warehousing and data mining provide techniques for collecting information from distributed databases and then performing data analysis ... Mining methodology and user interaction issues: • Data mining query languages • Presentation and visualization of data mining results • Data cleaning and handling of noisy data b) Performance

Ngày tải lên: 23/10/2019, 15:33

... manuscript and Pietro Guccione for his commentsand discussions on the manuscript.ix Trang 91 Sensor Networks and Data Streams: Basics 11.1 Sensor Data: Challenges and Premises 1 1.2 Data Mining ... first hardware, then software, thendata, and orgware In fact, the smart city is joining with data sensing and datamining to generate new models in our understanding of cities We like to think ... tracking, and controlling In this chapter, we provided a brief introduction to sensor data and sensor networks by focusing on challenges and opportunities for data mining We revised basic models for datastream

Ngày tải lên: 23/10/2019, 16:13

... manuscript and Pietro Guccione for his commentsand discussions on the manuscript.ix Trang 91 Sensor Networks and Data Streams: Basics 11.1 Sensor Data: Challenges and Premises 1 1.2 Data Mining ... first hardware, then software, thendata, and orgware In fact, the smart city is joining with data sensing and datamining to generate new models in our understanding of cities We like to think ... tracking, and controlling In this chapter, we provided a brief introduction to sensor data and sensor networks by focusing on challenges and opportunities for data mining We revised basic models for datastream

Ngày tải lên: 05/11/2019, 14:05

... 10 5.Commercial Data Warehouse Tools 11 6.FromData Warehousing to Data Mining 11 6.1 Data Mining Techniques 12 6.2 Research Issues in Data Mining 14 6.3 Applications of Data Mining 14 6.4 Commercial ... analyze the data, summarize it and predict future trends Data warehousing and data mining provide techniques for collecting information from distributed databases and then performing data analysis ... Mining methodology and user interaction issues: • Data mining query languages • Presentation and visualization of data mining results • Data cleaning and handling of noisy data b) Performance

Ngày tải lên: 05/11/2019, 14:18

... with data mining techniques using the provided symptoms and clinical information assigned in the patients dataset Data mining which allows the extraction of hidden knowledges from the data and ... License and is a very popular software for solving data mining problems WEKA also includes a collection of machine learning algorithms for data mining tasks and has been adopted in many data mining ... information data of patients Data mining techniques which refers to mining the information, allow the extraction of hidden knowledge and establishe the relationships between attributes inside the data,

Ngày tải lên: 11/01/2020, 19:17

... domains, their ability to generalize and learn from data mimics, in some sense, our own ability to learn from experience This ability is useful for data mining, and it also makes neural networks ... problems—such as detecting fraudulent credit card transactions as they occur and recognizing numeric amounts written on checks—and data mining challenges At the same time that researchers in artificial ... by its weight and these products are added together Other combination functions are some­times useful and include the maximum of the weighted inputs, the minimum, and the logical AND or OR of

Ngày tải lên: 21/06/2014, 04:20

... applied to data These patterns can be turned into new features of the data, for use in conjunction with other directed data mining techniques Trang 4Automatic Cluster Detection The data mining techniques ... 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 ... patterns, but the excess The data may contain so much complex structure that even the best data mining techniques are unable to coax out meaningful patterns When mining such a database for the answer

Ngày tải lên: 21/06/2014, 04:20

... hundred data points In data mining applications, the volumes of data are so large that statistical con­cerns about confidence and accuracy are replaced by concerns about manag­ing large volumes of data ... is a start and stop, a decision that often depends on the type of busi­ ness and available data The second challenge is technical: finding these start and stop dates in available data may be ... merely measured in dollars and cents Another important difference is the vol­ume of data The largest medical studies have a few tens of thousands of par­ticipants, and many draw conclusions from

Ngày tải lên: 21/06/2014, 04:20

... documented and reusable Data Mining Tools Increasingly, data mining tools have the ability to transform data within the tool Most tools have the ability to extract features from fields and to combine ... evaluation of several data mining techniques and tools (unless the choice of tool was foreordained) ■■ A plan for modifying business processes and systems to incorporate data mining ■■ A description ... of the production data mining environment ■■ A business case for investing in data mining and customer analytics Even when the decision has already been made to invest in data mining, the proof-of-concept

Ngày tải lên: 21/06/2014, 04:20

... commercial data mining software packages The problem is that just by breaking the larger data set into many small subsets , the number of classes represented in each node tends to go down, and with ... 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 as long as ... complexity and training set misclassification rate The CART algorithm identifies a set of such subtrees as candidate models These candidate subtrees are applied to the validation set and the tree

Ngày tải lên: 21/06/2014, 21:20

... threshold also implies that: A and B must appear together in at least 10,000 transactions, and, A and C must appear together in at least 10,000 transactions, and, A and D must appear together in ... to which patients? These relationships are all visible in data, and they all contain a wealth of informa­tion that most data mining techniques are not able to take direct advantage of In our ... soda, and window cleaner, the first step calculates the counts for each of these items During the second step, the following counts are created: ■■ Milk and detergent, milk and soda, milk and

Ngày tải lên: 21/06/2014, 21:20

... peripheral to data mining itself To a large extent, the concern is more about companies sharing data with each other rather than about a single company using data mining on its own to understand customer ... Sometimes, they come from careful analysis and data mining Sometimes, from a combi­nation of the two This is an extension of the virtuous cycle of data mining Learning— whether accomplished through ... the customer and the ongoing relationship that customers have with companies Levels of the Customer Relationship One of the major goals of data mining is to understand customers and the rela­tionships

Ngày tải lên: 21/06/2014, 21:20

... this requires a data mining group and the infrastructure to support it The Data Mining Group The data mining group is specifically responsible for building models and using data to learn about ... involved with any IT-based data mining projects Trang 10Building a Data Mining Group in the Business Units The alternative to putting the data mining group where the data and comput­ ers are is to ... to publish scores, rules, and other data mining results back to the data warehouse and to other applications that need them The data mining infrastructure is logically (and often physically) split

Ngày tải lên: 21/06/2014, 21:20

... Married 80K ? 10 Test Data © Tan,Steinbach, Kumar Introduction to Data Mining 25 Splitting Based on Continuous Attributes © Tan,Steinbach, Kumar Introduction to Data Mining 46 Tree Induction Greedy ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Illustrating Classification Task © Tan,Steinbach, Kumar Introduction to Data Mining 13 Apply Model to Test Data Refund MarSt TaxInc YES NO NO NO Yes ... Attributes Training Data Model: Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 8 Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 35...

Ngày tải lên: 15/03/2014, 09:20

... of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... By data mining, of course! How Data Mining Was Applied Most data mining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... 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