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Information Discovery On Electronic Health Records

159,00€ + 10% CARD

 Exploiting the information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Addressing the challenges of leveraging this information, this book explores the technology to unleash the data stored in EHRs.
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Knowledge Discovery For Counterterrorism And Law Enforcement

by David Skillicorn

87,44€ + 10% CARD

 Presents a fresh approach to knowledge discovery in adversarial settings. Focusing on the four main applications areas in knowledge discovery (prediction, clustering, relationship discovery, and textual analysis), this book discusses opportunities for concealment that exist and recommends tactics that can aid in detecting them.
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Accelerating Discovery - Mining Unstructured Information For Hypothesis Generation

by Scott Spangler

66,24€ + 10% CARD

 Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation describes a novel approach to scientific research that uses unstructured data analysis as a generative tool for new hypotheses.The author develops a systematic process for leveraging heterogeneous structured and unstructured data sources, data mining, and computational architectures to make the discovery process faster and more effective. This process accelerates human creativity by allowing scientists and inventors to more readily analyze and comprehend the space of possibilities, compare alternatives, and discover entirely new approaches.Encompassing systematic and practical perspectives, the book provides the necessary motivation and strategies as well as a heterogeneous set of comprehensive, illustrative examples. It reveals the importance of heterogeneous data analytics in aiding scientific discoveries and furthers data science as a discipline.
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Top Ten Algorithms In Data Mining

139,13€ + 10% CARD

 Identifying some of the most influential algorithms that are widely used in the data mining community, this book provides a description of each algorithm, discusses the impact of the algorithms, and reviews research on the algorithms.
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Statistical Data Mining Using Sas Applications

by George Fernandez

205,38€ + 10% CARD

 Compatible with SAS version 9, SAS Enterprise Guide, and SAS Learning Edition, this resource describes statistical data mining concepts and methods and includes 13 user-friendly SAS macro applications for performing complete data mining tasks. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results.
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Support Vector Machines - Optimization Based Theory, Algorithms, And Extensions

by Chunhua Zhang, Naiyang Deng e Yingjie Tian

74,19€ + 10% CARD

 Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built.The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for semi-supervised problems, and SVMs for problems with perturbations.To improve readability, concepts, methods, and results are introduced graphically and with clear explanations. For important concepts and algorithms, such as the Crammer-Singer SVM for multi-class classification problems, the text provides geometric interpretations that are not depicted in current literature. Enabling a sound understanding of SVMs, this book gives beginners as well as more experienced researchers and engineers the tools to solve real-world problems using SVMs.
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Computational Intelligent Data Analysis For Sustainable Development

eBook 10%

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Computational Intelligent Data Analysis For Sustainable Development

82,14€ + 10% CARD

 Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems.With a focus on integrated sustainability analysis, the book presents a large-scale quadratic programming algorithm to expand high-resolution input-output tables from the national scale to the multinational scale to measure the carbon footprint of the entire trade supply chain. It also quantifies the error or dispersion between different reclassification and aggregation schemas, revealing that aggregation errors have a high concentration over specific regions and sectors.The book summarizes the latest contributions of the data analysis community to climate change research. A profuse amount of climate data of various types is available, providing a rich and fertile playground for future data mining and machine learning research. The book also pays special attention to several critical challenges in the science of climate extremes that are not handled by the current generation of climate models. It discusses potential conceptual and methodological directions to build a close integration between physical understanding, or physics-based modeling, and data-driven insights. The book then covers the conservation of species and ecologically valuable land. A case study on the Pennsylvania Dirt and Gravel Roads Program demonstrates that multiple-objective linear programming is a more versatile and efficient approach than the widely used benefit targeting selection process.Moving on to renewable energy and the need for smart grids, the book explores how the ongoing transformation to a sustainable energy system of renewable sources leads to a paradigm shift from demand-driven generation to generation-driven demand. It shows how to maximize renewable energy as electricity by building a supergrid or mixing renewable sources with demand management and storage. It also presents intelligent data analysis for real-time detection of disruptive events from power system frequency data collected using an existing Internet-based frequency monitoring network as well as evaluates a set of computationally intelligent techniques for long-term wind resource assessment.In addition, the book gives an example of how temporal and spatial data analysis tools are used to gather knowledge about behavioral data and address important social problems such as criminal offenses. It also applies constraint logic programming to a planning problem: the environmental and social impact assessment of the regional energy plan of the Emilia-Romagna region of Italy.Sustainable development problems, such as global warming, resource shortages, global species loss, and pollution, push researchers to create powerful data analysis approaches that analysts can then use to gain insight into these issues to support rational decision making. This volume shows both the data analysis and sustainable development communities how to use intelligent data analysis tools to address practical problems and encourages researchers to develop better methods.
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Knowledge Discovery From Data Streams

by João Gama

125,86€ + 10% CARD

 Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams.The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also addresses several challenges of data mining in the future, when stream mining will be at the core of many applications. These challenges involve designing useful and efficient data mining solutions applicable to real-world problems. In the appendix, the author includes examples of publicly available software and online data sets.This practical, up-to-date book focuses on the new requirements of the next generation of data mining. Although the concepts presented in the text are mainly about data streams, they also are valid for different areas of machine learning and data mining.
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Music Data Mining

74,19€ + 10% CARD

 The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.
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Data Science And Analytics With Python

by Jesus Rogel-Salazar

~~68,89€~~ 62,00€ 10% OFF

 Since the first edition of â€œData Science and Analytics with Pythonâ€ we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This has led to book becoming a key textbook among practitioners and students.
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Computational Methods Of Feature Selection

74,19€ + 10% CARD

 Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This book covers the key concepts, representative approaches, and inventive applications of various aspects of feature selection.
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Advances In Machine Learning And Data Mining For Astronomy

68,89€ + 10% CARD

 Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines
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Biological Data Mining

109,96€ + 10% CARD

 Presents comprehensive data mining concepts, theories and applications in biological and medical research. This book discusses challenge and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. It describes the relationships between data mining and related areas of computing.
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Constrained Clustering - Advances In Algorithms, Theory, And Applications

74,19€ + 10% CARD

 Covers the capabilities and limitations of constrained clustering. This title presents various types of constraints for clustering, describes useful variations of the standard problem of clustering under constraints, and applies clustering with constraints to relational, bibliographic, and video data.
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Mining Software Specifications - Methodologies And Applications

102,01€ + 10% CARD

 An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of sof
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Geographic Data Mining And Knowledge Discovery

192,13€ + 10% CARD

 Includes material on geographic knowledge discovery, geographic data warehouse research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, INGENS 2.0 and geovisualization techniques. This title provides chapters on knowledge discovery from spatiotemporal and mobile objects databases.
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Data Mining For Design And Marketing

102,01€ + 10% CARD

 Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. It discusses how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers' needs.
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Practical Graph Mining With R

121,89€ + 10% CARD

 Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste
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Contrast Data Mining - Concepts, Algorithms, And Applications

74,19€ + 10% CARD

 A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and
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Privacy-Aware Knowledge Discovery - Novel Applications And New Techniques

87,44€ + 10% CARD

 Covers privacy and anonymity for data mining applications. This book presents novel application domains, such as data mining of biomedical and healthcare data. It addresses spatial, temporal, and spatio-temporal data as well graphs, links, and social networks. It details privacy-aware data publishing and mining of data streams.
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Multimedia Data Mining - A Systematic Introduction To Concepts And Theory

by Ruofei Zhang e Zhongfei Zhang

70,21€ + 10% CARD

 Defines multimedia data mining, its theory and its applications. This book discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation and soft computing techniques. It provides application examples that showcase the potential of multimedia data mining technologies.
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Graph-Based Social Media Analysis

63,59€ + 10% CARD

 Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear alge
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Text Mining - Classification, Clustering, And Applications

111,29€ + 10% CARD

 Focuses on statistical methods for text mining and analysis. This work examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search.
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Computational Business Analytics

by Subrata Das

192,13€ + 10% CARD

 Traditional business analytics have so far focused mostly on descriptive analyses of historical data. This book describes how numerical statistical techniques can be augmented and enriched with techniques from symbolic artificial intelligence, machine learning/data mining, and control theory.
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