Advanced Data Mining Techniques

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Advanced Data Mining Techniques

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Author by : David L. Olson
Languange Used : English, France, Spanish, Italia and chinese
Page : 180
Isbn : 9783540769170
Identifier : 354076917X
Release : 2008-01-01
Publisher by : Springer Science & Business Media
Category : Business & Economics
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Description : Read Now Advanced Data Mining Techniques by David L. Olson and you can download with pub, pdf, txt, doc, and more file format with free account. this book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. the book is organized in three parts. part i introduces concepts. part ii describes and demonstrates basic data mining algorithms. it also contains chapters on a number of different techniques often used in data mining. part iii focuses on business applications of data mining.

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

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Author by : Trivedi, Shrawan Kumar
Languange Used : English, France, Spanish, Italia and chinese
Page : 438
Isbn : 1522520325
Identifier : 9781522520320
Release : 2017-02-14
Publisher by : IGI Global
Category : Computers
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Description : Read Now Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence by Trivedi, Shrawan Kumar and you can download with pub, pdf, txt, doc, and more file format with free account. the development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. by implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. the handbook of research on advanced data mining techniques and applications for business intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management

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Author by : Michael J. A. Berry
Languange Used : English, France, Spanish, Italia and chinese
Page : 660
Isbn : 0764569074
Identifier : 9780764569074
Release : 2004-04-28
Publisher by : John Wiley & Sons
Category : Computers
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Description : Read Now Data Mining Techniques by Michael J. A. Berry and you can download with pub, pdf, txt, doc, and more file format with free account. packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support the authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining more advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis

R Data Mining Implement data mining techniques through practical use cases and real world datasets

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Author by : Andrea Cirillo
Languange Used : English, France, Spanish, Italia and chinese
Page : 442
Isbn : 1787129233
Identifier : 9781787129238
Release : 2017-11-29
Publisher by : Packt Publishing Ltd
Category : Computers
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Description : Read Now R Data Mining by Andrea Cirillo and you can download with pub, pdf, txt, doc, and more file format with free account. mine valuable insights from your data using popular tools and techniques in r about this book understand the basics of data mining and why r is a perfect tool for it. manipulate your data using popular r packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. apply effective data mining models to perform regression and classification tasks. who this book is for if you are a budding data scientist, or a data analyst with a basic knowledge of r, and want to get into the intricacies of data mining in a practical manner, this is the book for you. no previous experience of data mining is required. what you will learn master relevant packages such as dplyr, ggplot2 and so on for data mining learn how to effectively organize a data mining project through the crisp-dm methodology implement data cleaning and validation tasks to get your data ready for data mining activities execute exploratory data analysis both the numerical and the graphical way develop simple and multiple regression models along with logistic regression apply basic ensemble learning techniques to join together results from different data mining models perform text mining analysis from unstructured pdf files and textual data produce reports to effectively communicate objectives, methods, and insights of your analyses in detail r is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. this book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in r. it will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. while moving along the plot of the story you will effectively learn and practice on real data the various r packages commonly employed for this kind of tasks. you will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced support vector machines. unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. by the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data. finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented r scripts and a practical set of data mining models cheat sheets. style and approach this book takes a practical, step-by-step approach to explain the concepts of data mining. practical use-cases involving real-world datasets are used throughout the book to clearly explain theoretical concepts.

Data Mining: Concepts and Techniques

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Author by : Jiawei Han
Languange Used : English, France, Spanish, Italia and chinese
Page : 744
Isbn : 9780123814807
Identifier : 0123814804
Release : 2011-06-09
Publisher by : Elsevier
Category : Computers
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Description : Read Now Data Mining Concepts And Techniques by Jiawei Han and you can download with pub, pdf, txt, doc, and more file format with free account. data mining: concepts and techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. specifically, it explains data mining and the tools used in discovering knowledge from the collected data. this book is referred as the knowledge discovery from data (kdd). it focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. after describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. it then presents information about data warehouses, online analytical processing (olap), and data cube technology. then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. the book details the methods for data classification and introduces the concepts and methods for data clustering. the remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. this book is intended for computer science students, application developers, business professionals, and researchers who seek information on data mining. presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the world wide web, and applications in several fields provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Advanced Techniques in Knowledge Discovery and Data Mining

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Author by : Nikhil Pal
Languange Used : English, France, Spanish, Italia and chinese
Page : 256
Isbn : 9781846281839
Identifier : 1846281830
Release : 2007-12-31
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Advanced Techniques In Knowledge Discovery And Data Mining by Nikhil Pal and you can download with pub, pdf, txt, doc, and more file format with free account. clear and concise explanations to understand the learning paradigms. chapters written by leading world experts.

Data Mining Techniques in CRM Inside Customer Segmentation

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Author by : Konstantinos K. Tsiptsis
Languange Used : English, France, Spanish, Italia and chinese
Page : 372
Isbn : 1119965454
Identifier : 9781119965459
Release : 2011-08-24
Publisher by : John Wiley & Sons
Category : Computers
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Description : Read Now Data Mining Techniques In Crm by Konstantinos K. Tsiptsis and you can download with pub, pdf, txt, doc, and more file format with free account. this is an applied handbook for the application of data mining techniques in the crm framework. it combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. it focuses on customer segmentation and presents guidelines for the development of actionable segmentation schemes. by using non-technical language it guides readers through all the phases of the data mining process.

Advanced Data Mining and Applications First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings

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Author by : Xue Li
Languange Used : English, France, Spanish, Italia and chinese
Page : 835
Isbn : 354027894X
Identifier : 9783540278948
Release : 2005-07-12
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Advanced Data Mining And Applications by Xue Li and you can download with pub, pdf, txt, doc, and more file format with free account. with the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. the overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help peoplemakeinformed, sensible, andbetter decisions. at present, growing attention has been paid to the study, development and - plication of data mining. as a result there is an urgent need for sophisticated techniques and tools that can handle new ?elds of data mining, e.g., spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. the knowledge of data mining should also be expanded to new applications. the1stinternationalconferenceonadvanceddataminingandapplications (adma 2005) aimed to bring together the experts on data mining throughout the world. it provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. the conference attracted 539 online submissions and 63 mailing submissions from 25 di?erent countriesandareas.allfullpaperswerepeer reviewedbyatleastthreemembers of the program committee composed of international experts in data mining ?elds. a total number of 100 papers were accepted for the conference. amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%.

Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings

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Author by : Longbing Cao
Languange Used : English, France, Spanish, Italia and chinese
Page : 576
Isbn : 3642173136
Identifier : 9783642173134
Release : 2010-11-18
Publisher by : Springer
Category : Computers
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Description : Read Now Advanced Data Mining And Applications by Longbing Cao and you can download with pub, pdf, txt, doc, and more file format with free account. with the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. the overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. at present, growing attention has been paid to the study, development, and application of data mining. as a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. the knowledge of data mining should also be expanded to new applications. the 6th international conference on advanced data mining and appli- tions(adma2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. it provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. the conference attracted 361 online submissions from 34 di?erent countries and areas. all full papers were peer reviewed by at least three members of the program comm- tee composed of international experts in data mining ?elds. a total number of 118 papers were accepted for the conference. amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.

Advanced Data Mining and Applications 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014, Proceedings

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Author by : Xudong Luo
Languange Used : English, France, Spanish, Italia and chinese
Page : 741
Isbn : 331914717X
Identifier : 9783319147178
Release : 2014-12-17
Publisher by : Springer
Category : Computers
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Description : Read Now Advanced Data Mining And Applications by Xudong Luo and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the proceedings of the 10th international conference on advanced data mining and applications, adma 2014, held in guilin, china during december 2014. the 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. they deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.

Advanced Data Mining Technologies in Bioinformatics

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Author by : Hui-Huang Hsu
Languange Used : English, France, Spanish, Italia and chinese
Page : 329
Isbn : 1591408636
Identifier : 9781591408635
Release : 2006-01-01
Publisher by : IGI Global
Category : Computers
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Description : Read Now Advanced Data Mining Technologies In Bioinformatics by Hui-Huang Hsu and you can download with pub, pdf, txt, doc, and more file format with free account. "this book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--provided by publisher.

Real World Data Mining Applications

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Author by : Mahmoud Abou-Nasr
Languange Used : English, France, Spanish, Italia and chinese
Page : 418
Isbn : 3319078127
Identifier : 9783319078120
Release : 2014-11-13
Publisher by : Springer
Category : Business & Economics
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Description : Read Now Real World Data Mining Applications by Mahmoud Abou-Nasr and you can download with pub, pdf, txt, doc, and more file format with free account. data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. the expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. present-day data mining is a progressive multidisciplinary endeavor. this inter- and multidisciplinary approach is well reflected within the field of information systems. the information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. in that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. the aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring synergies at the intersection with information systems. it will serve as a platform for academics and practitioners to highlight their recent achievements and reveal potential opportunities in the field. thanks to its multidisciplinary nature, the volume is expected to become a vital resource for a broad readership ranging from students, throughout engineers and developers, to researchers and academics.