Tag: Mining

Free Download Petra Perner, "Advances in Data Mining: Applications and Theoretical Aspects"
English | 2010 | pages: 666 | ISBN: 3642143997 | PDF | 14,1 mb
These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

Free Download Data Mining for Biomarker Discovery By Stefania Mondello, Firas Kobeissy, Isaac Fingers (auth.), Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis (eds.)
2012 | 246 Pages | ISBN: 1461421063 | PDF | 6 MB
Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics.This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques.This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

Free Download Advances in Data Mining. Applications and Theoretical Aspects: 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings By Heng Chen, Yi Jin, Yan Zhao, Yongjuan Zhang (auth.), Petra Perner (eds.)
2013 | 281 Pages | ISBN: 3642397352 | PDF | 7 MB
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.

Free Download 300+ Data Mining Interview Questions and Answers: MCQ Format Questions | Freshers to Experienced | Detailed Explanations by Manish Salunke
English | January 27, 2024 | ISBN: N/A | ASIN: B0CTG85XSH | 318 pages | EPUB | 0.42 Mb
300+ Data Mining Interview Questions and Answers MCQ Format Questions Freshers to Experienced Detailed Explanations is an essential guide for anyone looking to step into the world of data mining or enhance their existing knowledge in this field. This book serves as a comprehensive resource for both freshers and experienced professionals, offering in-depth insights into the fundamental and advanced aspects of data mining.

Free Download Randall Matignon, "Data Mining Using SAS Enterprise Miner"
English | 2007 | pages: 580 | ISBN: 0470149019 | PDF | 58,1 mb
The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner.

Free Download Pocket Data Mining: Big Data on Small Devices By Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes (auth.)
2014 | 108 Pages | ISBN: 3319027107 | PDF | 4 MB
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 PDMdealing 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.

Free Download Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering (The Materials Research Society Series) by Stefan Sandfeld
English | May 9, 2024 | ISBN: 3031465644 | 644 pages | MOBI | 63 Mb
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented "from scratch" using Python and NumPy.

Free Download Data Mining with Python: Theory, Application, and Case Studies (Chapman & Hall/CRC The Python Series) by Di Wu
English | April 10, 2024 | ISBN: 1032612649, 1032598905 | True EPUB | 414 pages | 8.9 MB
Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.

Free Download Jie Tang, "Semantic Mining of Social Networks "
English | ISBN: 1608458571 | 2015 | 193 pages | PDF | 10 MB
Online social networks have already become a bridge connecting our physical daily life with the (web-based) information space. This connection produces a huge volume of data, not only about the information itself, but also about user behavior. The ubiquity of the social Web and the wealth of social data offer us unprecedented opportunities for studying the interaction patterns among users so as to understand the dynamic mechanisms underlying different networks, something that was previously difficult to explore due to the lack of available data. In this book, we present the architecture of the research for social network mining, from a microscopic point of view. We focus on investigating several key issues in social networks. Specifically, we begin with analytics of social interactions between users. The first kinds of questions we try to answer are: What are the fundamental factors that form the different categories of social ties? How have reciprocal relationships been developed from parasocial relationships? How do connected users further form groups? Another theme addressed in this book is the study of social influence. Social influence occurs when one’s opinions, emotions, or behaviors are affected by others, intentionally or unintentionally. Considerable research has been conducted to verify the existence of social influence in various networks. However, few literature studies address how to quantify the strength of influence between users from different aspects. In Chapter 4 and in [138], we have studied how to model and predict user behaviors. One fundamental problem is distinguishing the effects of different social factors such as social influence, homophily, and individual’s characteristics. We introduce a probabilistic model to address this problem. Finally, we use an academic social network, ArnetMiner, as an example to demonstrate how we apply the introduced technologies for mining real social networks. In this system, we try to mine knowledge from both the informative (publication) network and the social (collaboration) network, and to understand the interaction mechanisms between the two networks. The system has been in operation since 2006 and has already attracted millions of users from more than 220 countries/regions.

Free Download David Forsyth, "Eben Smith: The Dean of Western Mining"
English | 2021 | ISBN: 1646421787 | EPUB | pages: 208 | 2.0 mb
David Forsyth recounts the life of Eben Smith, an integral but little-known figure in Colorado mining history. Smith was one of the many fortune seekers who traveled to California during the gold rush and one of the few who found what he sought. He moved to Colorado in 1860 with business partner Jerome Chaffee and over the next forty-six years was involved in mining in nearly every major camp in the state, from Central City to Cripple Creek, and in the development of mines such as the Bobtail, Little Jonny, and Victor. He was eulogized by the Denver Post and Denver Times as the "dean of mining in Colorado."