Linear Algebra Tools For Data Mining

Linear Algebra Tools for Data Mining PDF
Author: Dan A. Simovici
Publisher: World Scientific
ISBN: 981438349X
Release: 2012
Size: 13.73 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 863
View: 3191

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Linear Algebra Tools For Data Mining PDF Full

by Dan A. Simovici, Linear Algebra Tools For Data Mining Books available in PDF, EPUB, Mobi Format. Download Linear Algebra Tools For Data Mining books, This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications. Key Features Integrates the mathematical developments to their applications in data mining without sacrificing the mathematical rigor Presented applications with full mathematical justifications and are often accompanied by MATLAB code Highlights strong links between linear algebra, topology and graph theory because these links are essentially important for applications A self-contained book that deals with mathematics that is immediately relevant for data mining Book jacket.



Linear Algebra Tools For Data Mining

Linear Algebra Tools for Data Mining PDF
Author: Dan A. Simovici
Publisher: World Scientific
ISBN: 9814383503
Release: 2012
Size: 43.10 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 878
View: 2028

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Linear Algebra Tools For Data Mining PDF Full

by Dan A. Simovici, Linear Algebra Tools For Data Mining Books available in PDF, EPUB, Mobi Format. Download Linear Algebra Tools For Data Mining books, This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications.



Matrix Methods In Data Mining And Pattern Recognition Second Edition

Matrix Methods in Data Mining and Pattern Recognition  Second Edition PDF
Author: Lars Elden
Publisher: SIAM
ISBN: 1611975867
Release: 2019-08-30
Size: 21.99 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 229
View: 4210

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Matrix Methods In Data Mining And Pattern Recognition Second Edition PDF Full

by Lars Elden, Matrix Methods In Data Mining And Pattern Recognition Second Edition Books available in PDF, EPUB, Mobi Format. Download Matrix Methods In Data Mining And Pattern Recognition Second Edition books, This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios, and provides a set of tools that students can modify for a particular application. Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph Laplacian and properties of its eigenvectors needed in spectral partitioning and describes spectral graph partitioning applied to social networks and text classification. Examples are included to help readers visualize the results. This new edition also presents matrix-based methods that underlie many of the algorithms used for big data. The book provides a solid foundation to further explore related topics and presents applications such as classification of handwritten digits, text mining, text summarization, PageRank computations related to the Google search engine, and facial recognition. Exercises and computer assignments are available on a Web page that supplements the book. This book is primarily for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra techniques.



Mathematical Tools For Data Mining

Mathematical Tools for Data Mining PDF
Author: Dan A. Simovici
Publisher: Springer Science & Business Media
ISBN: 1848002017
Release: 2008-08-15
Size: 11.37 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 615
View: 4844

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Mathematical Tools For Data Mining PDF Full

by Dan A. Simovici, Mathematical Tools For Data Mining Books available in PDF, EPUB, Mobi Format. Download Mathematical Tools For Data Mining books, This volume was born from the experience of the authors as researchers and educators,whichsuggeststhatmanystudentsofdataminingarehandicapped in their research by the lack of a formal, systematic education in its mat- matics. The data mining literature contains many excellent titles that address the needs of users with a variety of interests ranging from decision making to p- tern investigation in biological data. However, these books do not deal with the mathematical tools that are currently needed by data mining researchers and doctoral students. We felt it timely to produce a book that integrates the mathematics of data mining with its applications. We emphasize that this book is about mathematical tools for data mining and not about data mining itself; despite this, a substantial amount of applications of mathematical c- cepts in data mining are presented. The book is intended as a reference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a foundational role in statistics, machine learning and data mining. Thisvolumeisdedicatedtothestudyofset-theoreticalfoundationsofdata mining. Two further volumes are contemplated that will cover linear algebra and probability theory. The ?rst part of this book, dedicated to set theory, begins with a study of functionsandrelations.Applicationsofthesefundamentalconceptstosuch- sues as equivalences and partitions are discussed. Also, we prepare the ground for the following volumes by discussing indicator functions, ?elds and?-?elds, and other concepts.



Matrix Methods In Data Mining And Pattern Recognition

Matrix Methods in Data Mining and Pattern Recognition PDF
Author: Lars Eldén
Publisher: Society for Industrial and Applied Mathematics
ISBN: 9780898716269
Release: 2007-07-12
Size: 32.66 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 184
View: 185

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Matrix Methods In Data Mining And Pattern Recognition PDF Full

by Lars Eldén, Matrix Methods In Data Mining And Pattern Recognition Books available in PDF, EPUB, Mobi Format. Download Matrix Methods In Data Mining And Pattern Recognition books, Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.



The Complete Beginner S Guide Of Data Mining Data Analytics And Data Science Step By Step Beginner S Guide To Learn And Master Data Mining Data Analytics And Data Science

The Complete Beginner s Guide of Data Mining  Data Analytics  and Data Science Step by step Beginner s Guide to Learn and Master Data Mining  Data Analytics  and Data Science PDF
Author: Liam Damien
Publisher:
ISBN:
Release: 2020-12-14
Size: 13.58 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 432
View: 3079

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The Complete Beginner S Guide Of Data Mining Data Analytics And Data Science Step By Step Beginner S Guide To Learn And Master Data Mining Data Analytics And Data Science PDF Full

by Liam Damien, The Complete Beginner S Guide Of Data Mining Data Analytics And Data Science Step By Step Beginner S Guide To Learn And Master Data Mining Data Analytics And Data Science Books available in PDF, EPUB, Mobi Format. Download The Complete Beginner S Guide Of Data Mining Data Analytics And Data Science Step By Step Beginner S Guide To Learn And Master Data Mining Data Analytics And Data Science books, This book includes: Data Mining: Your Ultimate Guide to a Comprehensive Understanding of Data Mining Here's a sneak peek of what you'll learn with this book: Today, we live in the age of massive production of data. Machines and platforms are churning out data like never before! Start by taking count of the number of gadgets you have. How many services have you signed up for? Facebook, Instagram, Uber, Twitter, E-commerce - the list is endless. What is interesting is that all this data goes right back to whoever owns the product. They then use that information to improve their products. It is this process of gathering data that is referred to as Data Mining. What you need to understand is that the more data you collect, the more value you can deliver. The more value you provide, the more revenue your business generates. Here, we will discuss what data mining is all about and how you can use that data to make a lot of difference in your business and the world around you. And much more.... Data Analytics: A Comprehensive Beginner's Guide to Learn the Realms of Data Analytics Throughout these pages, you will learn: What Data Science is and the skills that one needs to develop to become a data scientist Big Data and its benefits What is data and how it can be used to obtain insights The different types of data analytics What is Data Visualization How to interpret data What are data mining and the different algorithms used for data mining Some data mining tools and their advantages What is data integration and the process And much more.... Data Science: A Comprehensive Beginner's Guide to Learn the Realms of Data Science Data science is rapidly expanding its horizons to places never thought possible. It can be quite difficult to keep up with the innovations, which takes place every day. A complete history of data science and why learning data science will be a great choice. The study of Linear Algebra and mathematics and how you can effectively apply it to data science The study of python programming and how you can become an expert at it The study of machine learning and how it is forever interwoven with data science Data visualization and how it is fundamentally different from data mining And much more.... This book won't make you an expert programmer, but it will give you an exciting first look at programming and a foundation of basic concepts with which you can start your journey in learning computer programming. Grab your copy Now!!!



Memoirs Of The Scientific Sections Of The Academy Of The Socialist Republic Of Romania

Memoirs of the Scientific Sections of the Academy of the Socialist Republic of Romania PDF
Author:
Publisher:
ISBN:
Release: 2007
Size: 50.98 MB
Format: PDF, ePub, Mobi
Category : Engineering
Languages : en
Pages :
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Memoirs Of The Scientific Sections Of The Academy Of The Socialist Republic Of Romania PDF Full

by , Memoirs Of The Scientific Sections Of The Academy Of The Socialist Republic Of Romania Books available in PDF, EPUB, Mobi Format. Download Memoirs Of The Scientific Sections Of The Academy Of The Socialist Republic Of Romania books,



Grouping Multidimensional Data

Grouping Multidimensional Data PDF
Author: Jacob Kogan
Publisher: Springer Science & Business Media
ISBN: 3540283498
Release: 2006-02-08
Size: 60.60 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 268
View: 956

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Grouping Multidimensional Data PDF Full

by Jacob Kogan, Grouping Multidimensional Data Books available in PDF, EPUB, Mobi Format. Download Grouping Multidimensional Data books, Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview. The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.



Professional Hadoop Solutions

Professional Hadoop Solutions PDF
Author: Boris Lublinsky
Publisher: John Wiley & Sons
ISBN: 1118611934
Release: 2013-09-23
Size: 26.54 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 504
View: 2655

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Professional Hadoop Solutions PDF Full

by Boris Lublinsky, Professional Hadoop Solutions Books available in PDF, EPUB, Mobi Format. Download Professional Hadoop Solutions books, Offers information on the architecture and data design necessary to create Hadoop-based enterprise applications.



Statistik Workshop F R Programmierer

Statistik Workshop f  r Programmierer PDF
Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 3868993436
Release: 2012-05-31
Size: 19.58 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : de
Pages : 160
View: 5088

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Statistik Workshop F R Programmierer PDF Full

by Allen B. Downey, Statistik Workshop F R Programmierer Books available in PDF, EPUB, Mobi Format. Download Statistik Workshop F R Programmierer books, Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.



Mastering Python For Data Science

Mastering Python for Data Science PDF
Author: Samir Madhavan
Publisher: Packt Publishing Ltd
ISBN: 1784392626
Release: 2015-08-31
Size: 34.99 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 294
View: 2628

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Mastering Python For Data Science PDF Full

by Samir Madhavan, Mastering Python For Data Science Books available in PDF, EPUB, Mobi Format. Download Mastering Python For Data Science books, Explore the world of data science through Python and learn how to make sense of data About This Book Master data science methods using Python and its libraries Create data visualizations and mine for patterns Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed. What You Will Learn Manage data and perform linear algebra in Python Derive inferences from the analysis by performing inferential statistics Solve data science problems in Python Create high-end visualizations using Python Evaluate and apply the linear regression technique to estimate the relationships among variables. Build recommendation engines with the various collaborative filtering algorithms Apply the ensemble methods to improve your predictions Work with big data technologies to handle data at scale In Detail Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science. Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods. Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics. Style and approach This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.



Cloud Computing For Machine Learning And Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications PDF
Author: Kai Hwang
Publisher: MIT Press
ISBN: 0262341123
Release: 2017-07-07
Size: 40.93 MB
Format: PDF
Category : Computers
Languages : en
Pages : 624
View: 7059

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Cloud Computing For Machine Learning And Cognitive Applications PDF Full

by Kai Hwang, Cloud Computing For Machine Learning And Cognitive Applications Books available in PDF, EPUB, Mobi Format. Download Cloud Computing For Machine Learning And Cognitive Applications books, The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.



Data Preparation For Data Mining

Data Preparation for Data Mining PDF
Author: Dorian Pyle
Publisher: Morgan Kaufmann
ISBN: 9781558605299
Release: 1999-04-05
Size: 20.75 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 540
View: 7122

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Data Preparation For Data Mining PDF Full

by Dorian Pyle, Data Preparation For Data Mining Books available in PDF, EPUB, Mobi Format. Download Data Preparation For Data Mining books, This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.



Mastering Python Data Visualization

Mastering Python Data Visualization PDF
Author: Kirthi Raman
Publisher: Packt Publishing Ltd
ISBN: 1783988339
Release: 2015-10-27
Size: 42.98 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 372
View: 2496

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Mastering Python Data Visualization PDF Full

by Kirthi Raman, Mastering Python Data Visualization Books available in PDF, EPUB, Mobi Format. Download Mastering Python Data Visualization books, Generate effective results in a variety of visually appealing charts using the plotting packages in Python About This Book Explore various tools and their strengths while building meaningful representations that can make it easier to understand data Packed with computational methods and algorithms in diverse fields of science Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed. What You Will Learn Gather, cleanse, access, and map data to a visual framework Recognize which visualization method is applicable and learn best practices for data visualization Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with it Explore with various visualization choices how Python can be very useful in computation in the field of finance and statistics Get to know why Python is the second choice after Java, and is used frequently in the field of machine learning Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js Discover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis. By the end of this book, you will be able to effectively solve a broad set of data analysis problems. Style and approach The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields



Cube Space Data Mining

Cube space Data Mining PDF
Author: Bee-Chung Chen
Publisher:
ISBN:
Release: 2008
Size: 32.27 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 257
View: 6048

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Cube Space Data Mining PDF Full

by Bee-Chung Chen, Cube Space Data Mining Books available in PDF, EPUB, Mobi Format. Download Cube Space Data Mining books,



Proceedings Of The International Conference On Information And Knowledge Management

Proceedings of the     International Conference on Information and Knowledge Management PDF
Author:
Publisher:
ISBN:
Release: 2001
Size: 53.90 MB
Format: PDF
Category : Database management
Languages : en
Pages :
View: 596

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Proceedings Of The International Conference On Information And Knowledge Management PDF Full

by , Proceedings Of The International Conference On Information And Knowledge Management Books available in PDF, EPUB, Mobi Format. Download Proceedings Of The International Conference On Information And Knowledge Management books,