This book constitutes the proceedings of the 15th International Conference on Web Information Systems Engineering, WISE 2014, held in Thessaloniki, Greece, in October 2014. The 52 full papers, 16 short and 14 poster papers, presented in the two-volume proceedings LNCS 8786 and 8787 were carefully reviewed and selected from 196 submissions. They are organized in topical sections named: Web mining, modeling and classification; Web querying and searching; Web recommendation and personalization; se...
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve their...
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patt...
Hands-On Machine Learning with R (Chapman & Hall/CRC The R)
by Brad Boehmke and Brandon M. Greenwell
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on...
This book constitutes the refereed proceedings of the 8th Brazilian Symposium on Bioinformatics, BSB 2013, held in Recife, Brazil, in November 2013. The 18 regular papers presented were carefully reviewed and selected for inclusion in this book. The papers cover all aspects of bioinformatics and computational biology.
Fuzzy Logic and Applications (Lecture Notes in Computer Science, #8256) (Lecture Notes in Artificial Intelligence, #5571)
This volume constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Fuzzy Logic and Applications held in September 2005. The 50 revised full papers and 32 short papers presented together with three invited papers were carefully reviewed and selected from 86 submissions. The papers are organized in topical sections on neuro-fuzzy systems, fuzzy logic and possibility theory, pattern recognition, evolutionary algorithms, control, bioinformatics, image proc...
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction,...
Introduction to Neural Networks for Java, Second Edition
by Jeff Heaton
This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libra...
Networks, Data Mining and Artificial Intelligence
by S.M. Hazarika and D K Bhattacharyya
Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging topics in AI. Various routing and security issues in WSN are dealt in Sections I and II. These two sections discuss Congestion control in wireless environment, signal interference between WLAN & LR-WPAN and its avoidance and Quality of service routing in MANETs. Section III covers significant contributions on design of efficient clustering algorithms for categoric...
Social Media Mining and Social Network Analysis: Emerging Research
This edited book presents the results of the 5th Workshop on Real-world Wireless Sensor Networks (REALWSN). The purpose of this workshop was to bring together researchers and practitioners working in the area of sensor networks, with focus on real-world experiments or deployments of wireless sensor networks. Included were, nonetheless, emerging forms of sensing such as those that leverage smart phones, Internet of Things, RFIDs, and robots. Indeed, when working with real-world experiments or dep...
Advances in Natural Language Processing (Lecture Notes in Computer Science, #6233)
The researchpapersin this volumecomprisethe proceedingsofIceTAL 2010,an international conference on natural language processing (NLP). IceTAL was the seventh in the series of the TAL conferences, following GoTAL 2008 (Goth- burg, Sweden), FinTAL 2006 (Turku, Finland), EsTAL 2004 (Alicante, Spain), PorTAL2002(Faro,Portugal),VexTAL1999(Venice, Italy),andFracTAL1997 (Besancon,France).ThemaingoaloftheTALconferenceserieshasbeentobring together scientists representing linguistics, computer science, an...
An Analytic Inventory of DHS Headquarters Business Processes
by Jeffrey Wenger
The Emerging Risk of Virtual Societal Warfare
by Michael J. Mazarr, Ryan Michael Bauer, and Abigail Casey
Discovery Science (Lecture Notes in Computer Science, #6332) (Lecture Notes in Artificial Intelligence, #6332)
th This volume contains the papers presented at the 13 International Conference on Discovery Science (DS 2010) held in Canberra, Australia, October 6-8, 2010. The main objective of the Discovery Science (DS) conference series is to provide an open forum for intensive discussions and the exchange of new ideas and information among researchers working in the area of automating sci- ti?c discovery or working on tools for supporting the human process of disc- ery in science. It has been a successful...
Information Technology and Mobile Communication (Communications in Computer and Information Science, #147)
This book constitutes the refereed proceedings of the International Conference on Advances in Information Technology and Mobile Communication, AIM 2011, held at Nagpur, India, in April 2011. The 31 revised full papers presented together with 27 short papers and 34 poster papers were carefully reviewed and selected from 313 submissions. The papers cover all current issues in theory, practices, and applications of Information Technology, Computer and Mobile Communication Technology and related to...
Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data...
Targeting Uplift
by Rene Michel, Igor Schnakenburg, and Tobias Von Martens
This book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation. After discussing modern net score modeling methods, data preparation, and the assessment of uplift models, the book investigates software implementations and real-world scenarios. Focusing on the application of theoretical results and on practical issues of uplift mo...
The first book for managers and technical professionals that teaches data mining in an accessible way and that explains how data mining drives next-generation customer relationship strategies. Data Mining Explained helps technically-proficient managers and IT professionals use powerful data mining technologies to solve important business challenges, most importantly to identify and better serve customer needs. Written by data mining experts, Data Mining Explained describes how companies in gener...
Discovery Science (Lecture Notes in Artificial Intelligence, #8140) (Lecture Notes in Computer Science, #8140)
This book constitutes the proceedings of the 16th International Conference on Discovery Science, DS 2013, held in Singapore in October 2013, and co-located with the International Conference on Algorithmic Learning Theory, ALT 2013. The 23 papers presented in this volume were carefully reviewed and selected from 52 submissions. They cover recent advances in the development and analysis of methods of automatic scientific knowledge discovery, machine learning, intelligent data analysis, and their a...
Intelligence Science and Big Data Engineering (Lecture Notes in Computer Science, #8261)
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine le...
Advance Trends in Soft Computing (Studies in Fuzziness and Soft Computing, #312)
This book is the proceedings of the 3rd World Conference on Soft Computing (WCSC), which was held in San Antonio, TX, USA, on December 16-18, 2013. It presents start-of-the-art theory and applications of soft computing together with an in-depth discussion of current and future challenges in the field, providing readers with a 360 degree view on soft computing. Topics range from fuzzy sets, to fuzzy logic, fuzzy mathematics, neuro-fuzzy systems, fuzzy control, decision making in fuzzy environment...