Pocket Data Mining

Author : Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Publisher : Springer Science & Business Media
Page : 108 pages
File Size : 42,8 Mb
Release : 2013-10-19
Category : Technology & Engineering
ISBN : 9783319027111

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Pocket Data Mining by Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes Pdf

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Author : Mohamed Medhat Gaber,Frédéric Stahl,Joao Bartolo Gomes
Publisher : Unknown
Page : 120 pages
File Size : 45,8 Mb
Release : 2013-11-30
Category : Electronic
ISBN : 3319027123

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Pocket Data Mining by Mohamed Medhat Gaber,Frédéric Stahl,Joao Bartolo Gomes Pdf

Author : Irwin Epstein
Publisher : Oxford University Press
Page : 241 pages
File Size : 46,7 Mb
Release : 2010
Category : Social Science
ISBN : 9780195335521

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Clinical Data-Mining by Irwin Epstein Pdf

Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection. Depending upon the type of data mined, CDM can be qualitative or quantitative; it is generally retrospective, but may be meaningfully combined with original data collection.Any research method that relies on the contents of case records or information systems data inevitably has limitations, but with proper safeguards these can be minimized. Among CDM's strengths however, are that it is unobtrusive, inexpensive, presents little risk to research subjects, and is ethically compatible with practitioner value commitments. When conducted by practitioners, CDM yields conceptual as well as data-driven insight into their own practice- and program-generated questions.This pocket guide, from a seasoned practice-based researcher, covers all the basics of conducting practitioner-initiated CDM studies or CDM doctoral dissertations, drawing extensively on published CDM studies and completed CDM dissertations from multiple social work settings in the United States, Australia, Israel, Hong Kong and the United Kingdom. In addition, it describes consulting principles for researchers interested in forging collaborative university-agency CDM partnerships, making it a practical tool for novice practitioner-researchers and veteran academic-researchers alike.As such, this book is an exceptional guide both for professionals conducting practice-based research as well as for social work faculty seeking an evidence-informed approach to practice-research integration.

Author : Marzena Kryszkiewics,Henryk Rybinski,Andrzej Skowron,Zbigniew W. Raś
Publisher : Springer Science & Business Media
Page : 764 pages
File Size : 41,9 Mb
Release : 2011-06-22
Category : Computers
ISBN : 9783642219153

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Foundations of Intelligent Systems by Marzena Kryszkiewics,Henryk Rybinski,Andrzej Skowron,Zbigniew W. Raś Pdf

This book constitutes the refereed proceedings of the 19th International Symposium on Methodologies for Intelligent Systems, ISMIS 2011, held in Warsaw, Poland, in June 2011. The 71 revised papers presented together with 3 invited papers were carefully reviewed and selected from 131 submissions. The papers are organized in topical sections on rough sets - in memoriam Zdzisław Pawlik, challenges in knowledge discovery and data mining - in memoriam Jan Żytkov, social networks, multi-agent systems, theoretical backgrounds of AI, machine learning, data mining, mining in databases and warehouses, text mining, theoretical issues and applications of intelligent web, application of intelligent systems in sound processing, intelligent applications in biology and medicine, fuzzy sets theory and applications, intelligent systems, tools and applications, and contest on music information retrieval.

Author : Anonim
Publisher : Springer
Page : 223 pages
File Size : 44,9 Mb
Release : 2012-02-10
Category : Computers
ISBN : 9783642281488

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Transactions on Large-Scale Data- and Knowledge-Centered Systems V by Anonim Pdf

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the fifth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains nine selected full-length papers, focusing on the topics of query processing, information extraction, management of dataspaces and contents, and mobile applications.

Author : Jake Y. Chen,Stefano Lonardi
Publisher : CRC Press
Page : 733 pages
File Size : 53,8 Mb
Release : 2009-09-01
Category : Computers
ISBN : 1420086855

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Biological Data Mining by Jake Y. Chen,Stefano Lonardi Pdf

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplinary data mining researchers who cover state-of-the-art biological topics. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. The second section addresses emerging computational challenges in interpreting high-throughput Omics data. The book then describes the relationships between data mining and related areas of computing, including knowledge representation, information retrieval, and data integration for structured and unstructured biological data. The last part explores emerging data mining opportunities for biomedical applications. This volume examines the concepts, problems, progress, and trends in developing and applying new data mining techniques to the rapidly growing field of genome biology. By studying the concepts and case studies presented, readers will gain significant insight and develop practical solutions for similar biological data mining projects in the future.

Author : Meta S. Brown
Publisher : John Wiley & Sons
Page : 422 pages
File Size : 45,5 Mb
Release : 2014-09-29
Category : Computers
ISBN : 9781118893173

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Data Mining For Dummies by Meta S. Brown Pdf

Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Author : Nong Ye
Publisher : CRC Press
Page : 720 pages
File Size : 50,5 Mb
Release : 2003-04-01
Category : Computers
ISBN : 9781410607515

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The Handbook of Data Mining by Nong Ye Pdf

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality. This Handbook is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

Author : Han Liu,Alexander Gegov,Mihaela Cocea
Publisher : Springer
Page : 121 pages
File Size : 54,6 Mb
Release : 2015-09-09
Category : Technology & Engineering
ISBN : 9783319236964

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Rule Based Systems for Big Data by Han Liu,Alexander Gegov,Mihaela Cocea Pdf

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Author : Animesh Adhikari,Jhimli Adhikari
Publisher : Springer
Page : 370 pages
File Size : 40,7 Mb
Release : 2014-12-27
Category : Technology & Engineering
ISBN : 9783319132129

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Advances in Knowledge Discovery in Databases by Animesh Adhikari,Jhimli Adhikari Pdf

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.

Author : Nathalie Japkowicz,Jerzy Stefanowski
Publisher : Springer
Page : 329 pages
File Size : 41,7 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9783319269894

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Big Data Analysis: New Algorithms for a New Society by Nathalie Japkowicz,Jerzy Stefanowski Pdf

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Author : João Gama,Elizabeth Bradley,Jaakko Hollmen
Publisher : Springer
Page : 438 pages
File Size : 40,8 Mb
Release : 2011-10-25
Category : Computers
ISBN : 9783642248009

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Advances in Intelligent Data Analysis X by João Gama,Elizabeth Bradley,Jaakko Hollmen Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer Nature
Page : 424 pages
File Size : 44,9 Mb
Release : 2019-09-19
Category : Technology & Engineering
ISBN : 9783030313623

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Computational Statistics and Mathematical Modeling Methods in Intelligent Systems by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems. This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.

Author : Matt Harrison
Publisher : "O'Reilly Media, Inc."
Page : 320 pages
File Size : 46,9 Mb
Release : 2019-08-27
Category : Computers
ISBN : 9781492047490

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Machine Learning Pocket Reference by Matt Harrison Pdf

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 41,5 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.