data mining concepts and techniques 2nd ed pdf download

... developed from databases, statistics, and machine learning? (c) Explain how the evolution of database technology led to data mining (d) Describe the steps involved in data mining when viewed as ... 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 ... steps involved in data mining when viewed as a process of knowledge discovery The steps involved in data mining when viewed as a process of knowledge discovery are as follows: • Data cleaning,

Ngày tải lên: 16/10/2021, 15:40

... 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 marts in our SQL-based ... is described in detail in Chapters and width, (2.3) 2.2 Descriptive Data Summarization Mean Median Mode Mode Mean Median (a) symmetric data (b) positively skewed data Mean 53 Mode Median (c) ... based on quality data Detecting data anomalies, rectifying them early, and reducing the data to be analyzed can lead to huge payoffs for decision making 2.2 Descriptive Data Summarization For data

Ngày tải lên: 08/08/2014, 18:22

... between the current detailed data and the lightly summarized data, and between the lightly summarized data and the highly summarized data Metadata should be stored and managed persistently (i.e., ... recommend interested readers to consult books dedicated to data warehousing technology 3.3.4 Metadata Repository Metadata are data about data When used in a data warehouse, metadata are the data that ... are created and captured for timestamping any extracted data, the source of the extracted data, and missing fields that have been added by data cleaning or integration processes A metadata repository

Ngày tải lên: 08/08/2014, 18:22

... 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 quantitative ... support, reduced support, and group-based support Redundant multilevel (descendant) association rules can be eliminated if their support and confidence are close to their expected values, based on ... mining efficiency was studied by Park, Chen, and Yu [PCY95a] Transaction reduction techniques are described in Agrawal and Srikant [AS94b], Han and Fu [HF95], and Park, Chen, and Yu [PCY95a] The partitioning

Ngày tải lên: 08/08/2014, 18:22

... which values are being predicted is continuous-valued (ordered) rather than categorical (discrete-valued and unordered) The attribute can be referred to simply as the predicted attribute.3 Suppose ... assuming a small data size Recent data mining research has built on such work, developing scalable classification and prediction techniques capable of handling large disk-resident data In this chapter, ... Classification and Prediction Databases are rich with hidden information that can be used for intelligent decision making Classification and prediction are two forms of data analysis that can be used to

Ngày tải lên: 08/08/2014, 18:22

... is tested on D1 ; the second iteration is trained on 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 ... misclassified tuples are increased and the weights of correctly classified tuples are decreased, as described above “Once boosting is complete, how is the ensemble of classifiers used to predict the ... the greedy algorithm to obtain an even smaller final subset for the next phase The iteration phase selects a random set of k medoids from this reduced set (of medoids), and replaces “bad” medoids

Ngày tải lên: 08/08/2014, 18:22

... efficient closed sequential pattern mining method The method is based on a property of sequence databases, called equivalence of projected databases, stated as follows: Two projected sequence databases, ... mentioned in step can be mined by constructing corresponding projected databases and mining each recursively The projected databases, as well as the sequential patterns found in them, are listed ... categorized into two classes: constraint-based semi-supervised clustering and distance-based semi-supervised clustering Constraint-based semi-supervised clustering relies on user-provided labels

Ngày tải lên: 08/08/2014, 18:22

... 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 ... object-relational and object-oriented databases is their capability of storing, accessing, and modeling complex structure-valued data, such as set- and list-valued data and data with nested structures ... extract interesting knowledge implicitly stored in the data Technologies developed in spatial databases and multimedia databases, such as spatial data accessing and analysis techniques, pattern recognition,

Ngày tải lên: 08/08/2014, 18:22

... the data stored in database systems and handling large data sets efficiently In data mining systems that are loosely coupled with database and data warehouse systems, the data are retrieved into ... specialized data mining systems may be used, which mine either text documents, geospatial data, multimedia data, stream data, time-series data, biological data, or Web data, or are dedicated to ... can see how the data are extracted and from which database or data warehouse they are extracted, as well as how the selected data are cleaned, integrated, preprocessed, and mined Moreover, it

Ngày tải lên: 08/08/2014, 18:22

... the benefits of data mining in terms of time and money savings and the discovery of new knowledge 11.5 Trends in Data Mining The diversity of data, data mining tasks, and data mining approaches ... content mining, Weblog mining, and data mining services on the Internet will become one of the most important and flourishing subfields in data mining Distributed data mining: Traditional data mining ... issues in data mining The development of efficient and effective data mining methods and systems, the construction of interactive and integrated data mining environments, the design of data mining

Ngày tải lên: 08/08/2014, 18:22

... MƠN HỌC KHAI THÁC DỮ LIỆU VÀ ỨNG DỤNG ĐỀ TÀI : KHAI THÁC ĐỒ THỊ DỰA TRÊN TÀI LIỆU : Data Mining: Concepts and Techniques, Jiawei Han TP.HCM – 12/2012 Tóm tắt nội dung đồ án Đồ thị biểu thị cho ... gom nhóm phân lớp liệu đồ thị khám phá chúng với phương pháp khai thác mẫu đồ thị Chương 9:Graph Mining 9.1 Khai thác đồ thị Đồ thị ngày trở nên quan trọng việc mơ hình hóa cấu trúc phức tạp (hợp ... lập mục video, thu hồi văn bản, phân tích Web nhu cầu phân tích liệu có cấu trúc ngày tăng graph mining trở thành nhiệm vụ quan trọng Ví Dụ: Mạng cộng tác tác giả Hình 1: Ví dụ ứng dụng đồ thị

Ngày tải lên: 12/11/2015, 13:20

... variables and Applied Data Mining for Business and Industry, Second Edition Paolo Giudici and Silvia Figini © 2009 John Wiley & Sons, Ltd ISBN: 978-0-470-05886-2 APPLIED DATA MINING FOR BUSINESS AND ... Applied Data Mining for Business and Industry Applied Data Mining for Business and Industry, Second Edition Paolo Giudici and Silvia Figini © 2009 John Wiley & ... Cataloging-in-Publication Data Giudici, Paolo Applied data mining for business and industry / Paolo Giudici, Silvia Figini – 2nd ed p cm Includes bibliographical references and index ISBN 978-0-470-05886-2

Ngày tải lên: 05/11/2019, 13:06

... University Press in the UK and in certain other countries Copyright © Matthew Allen 1997, 2004 First published 1997 Reprinted 1997, 1998, 1999, 2001 Second edition published 2004 This book is copyright ... Copyright Agency Limited National Library of Australia Cataloguing-in-Publication data: Allen, Matthew, 1965- Smart thinking: skills for critical understanding & writing 2nd ed Bibliography ISBN ... are There? 89 Deductive and inductive reasoning 89 Categorical and propositional logic 92 Five types of reasoning 93 Review 100 Research, Reasoning, and Analysis 102 Reasoning and analysis 103

Ngày tải lên: 08/11/2012, 10:46

... continuous-media data. For multimedia data mining, storage and search techniques need to be integrated with standard data mining methods. Promising approaches include the construction of multimedia data ... inte- grated with the mining module, depending on the implementation of the data mining method used. For efficient data mining, it is highly recommended to push Data Mining: Concepts and Techniques Second ... Advanced database systems include object-relational databases and specific application-oriented databases, such as spatial databases, time-series databases, text databases, and multimedia databases....

Ngày tải lên: 08/08/2014, 18:22

... 2 No Married 100K No 3 No Single 70K No 4 Yes Married 120K No 5 No Divorced 95K Yes 6 No Married 60K No 7 Yes Divorced 220K No 8 No Single 85K Yes 9 No Married 75K No ... (Status=Married) → No Simplified Rule: (Status=Married) → No © Tan,Steinbach, Kumar Introduction to Data Mining 44 Nearest Neighbor Classification Problem with Euclidean measure: High dimensional data ... negative instances covered by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based Classifiers Examples: Rote-learner ã Memorizes entire training data and performs classification...

Ngày tải lên: 15/03/2014, 09:20