Trade more profitably by exploiting Microsoft Excel's powerful statistical and data mining tools: * Uncover subtle anomalies and distortions that signal profit opportunities * Create powerful new custom indicators, alerts, and trading models * Visualize and analyze huge amounts of trading data with just a few clicks * Powerful techniques for every active investor who can use Excel Now that high-speed traders dominate the market, yesterday's slower-paced analysis strategies are virtually worthless.
Finally, Drupal Made Easy: A Step-By-Step Guide from Planning to Finished Site The open source content management system Drupal offers amazing flexibility, sophistication, and power.
Finally, Drupal Made Easy: A Step-By-Step Guide from Planning to Finished Site The open source content management system Drupal offers amazing flexibility, sophistication, and power.
Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance.
Urgent deadlines, constant lack of time, permanent delays - these are the most faithful companions and, at the same time, the greatest enemies of the project manager.
Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them.
Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.
Die zunehmende Digitalisierung aller Lebensbereiche bedeutet für die Unternehmen, dass die IT sich mehr und mehr von einer betrieblichen Unterstützungsfunktion zu einem zentralen Wertschöpfungsprozess wandelt.
Learn how to bring your data to life with this hands-on guide to visual analytics with TableauKey FeaturesMaster the fundamentals of Tableau Desktop and Tableau PrepLearn how to explore, analyze, and present data to provide business insightsBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data.
This book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations.
Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field.
This book illustrates the applications of mobile robot systems in warehouse operations with an integrated decision framework for their selection and application.
This book is the first coherent presentation of the latest research and practices concerned with how recent advances in mobile information and communication technology (ICT) and the Internet of Things (IoT) are utilized to enhance the value of the city and change the way that city planning and management are carried out.
Learn to use Microsoft's powerful marketing automation tool, and get comprehensive knowledge with this in-depth guide covering the core capabilities of Dynamics 365 MarketingKey FeaturesTake your first step on the path to becoming a functional consultant with Dynamics 365 MarketingGet knowledge on how to use the systems features and functionality out-of-the-boxTest your knowledge with self-assessment tests to better understand the contentBook DescriptionMarketing is one of the most powerful entities in the modern world with the potential to make or break a business.
Programming for Electrical Engineers: MATLAB and Spice introduces beginning engineering students to programming in Matlab and Spice through engaged, problem-based learning and dedicated electrical and computer engineering content.
This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.
This book is an outcome of the 36th International Conference EnviroInfo 2022, held at the University of Hamburg, Germany, organized by the technical committee for Environmental Informatics of the German Informatics Society.
Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines.
This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling:* the 23rd International Conference on Business Process Modeling, Development and Support, BPMDS 2022, and * the 27th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2022.
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering.
The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design.
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control.
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well.
Multi-Paradigm Modelling for Cyber-Physical Systems explores modeling and analysis as crucial activities in the development of Cyber-Physical Systems, which are inherently cross-disciplinary in nature and require distinct modeling techniques related to different disciplines, as well as a common background knowledge.
Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis.
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data.
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system.
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas.
Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents various algorithms that include the genetic algorithm, simulated annealing, differential evolution, ant colony optimization, tabu search, particle swarm optimization, artificial bee colony optimization, and cuckoo search algorithm.
Despite the ever-increasing interest in eye tracking, there is still no comprehensive work on the potential and applications of table-mounted and mobile head-mounted eye tracking solutions in travel and tourism.
This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns.
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications.
This book is based on the work of the YEEES Research Centre, an international network of scientists from partner universities in Germany, Mozambique, Namibia and South Africa.
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making.
This book addresses the issue of smart and sustainable development in the Mediterranean (MED) region, a distinct part of the world, full of challenges and risks but also opportunities.
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases.
Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners.
