A unique book on the art and science of keyword research Keyword research can make or break a marketing campaign, an optimization strategy, and pay-per-click ad campaigns. Written by a keyword research expert, this essential resource drills home the importance of targeting the right keywords or phrases in order to get traffic from search engines and social media channels. Author Ron Jones imparts his wisdom and experience for determining which keywords will work based on a searcher's intent and he shows you how to research social, mobile, and video marketing tools that can ultimately become the foundation of a marketing campaign. Boasts detailed how-to information from one of the world's leading keyword research experts Helps you learn how to craft a successful keyword campaign and capture a coveted spot on the first page of a results page Pares down the essential information you need to know to use available tools to get keyword suggestions, forecast web site traffic, perform competitive research, and analyze results Walks you through how to best apply keywords to SEO and PPC campaigns as well as gain visibility with mobile marketing and integrate with traditional marketing efforts Features case studies, examples, tutorials, tips, and previously undocumented techniques No matter your level of experience working with keywords, Keyword Intelligence is the ultimate guide for learning how to best conduct keyword research and craft winning marketing campaigns.

Internationally, the profession of intelligence continues to develop and expand. So too does the academic field of intelligence, both in terms of intelligence as a focus for academic research and in terms of the delivery of university courses in intelligence and related areas. To a significant extent both the profession of intelligence and those delivering intelligence education share a common aim of developing intelligence as a discipline. However, this shared interest must also navigate the existence of an academic-practitioner divide. Such a divide is far from unique to intelligence – it exists in various forms across most professions – but it is distinctive in the field of intelligence because of the centrality of secrecy to the profession of intelligence and the way in which this constitutes a barrier to understanding and openly teaching about aspects of intelligence. How can co-operation in developing the profession and academic study be maximized when faced with this divide? How can and should this divide be navigated? The Academic-Practitioner Divide in Intelligence provides a range of international approaches to, and perspectives on, these crucial questions.

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. This book offers a thorough introduction and systematic overview of the new field e-service intelligence. It covers the state-of-the-art of e-service intelligence including both theorems and applications, and a broad range of topics are discussed.

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence for Applied Research. The contributions to the seventh in the series of FLINS conferences contained in this volume cover state-of-the-art research and development in applied artificial intelligence for applied research in general and for power/nuclear engineering in particular.

This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.

This edited volume is dedicated to the theory and applications of Computational Intelligence techniques for Intelligent Image Processing, Data Analysis and Information Retrieval. It consists of 52 accepted research papers from the 1999 International Conference on Computational Intelligence for Modeling, Control and Automation - CIMCA'99. The goal of this conference was to provide a medium for the exchange of ideas between theoreticians and practitioners to address the important issues in computational intelligence for modelling, control and automation. The research papers presented in this book cover new techniques and applications in the of Image Processing, Computer Vision, Multimedia Systems, Filtering, Classification, Data Analysis, Prediction, Intelligent Database and Information Retrievals.

This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management.