In todays fast-paced world of competitive workplaces and turbulent economic conditions, each of us is searching for effective tools that can help us to manage, adapt, and strike out ahead of the pack. By now, emotional intelligence (EQ) needs little introduction-its no secret that EQ is critical to your success. But knowing what EQ is and knowing how to use it to improve your life are two very different things. Emotional Intelligence 2.0 delivers a step-by-step program for increasing your EQ via four, core EQ skills that enable you to achieve your fullest potential: 1) Self-Awareness 2) Self-Management 3) Social Awareness 4) Relationship Management Emotional Intelligence 2.0 is a book with a single purpose-increasing your EQ. Heres what people are saying about it: Emotional Intelligence 2.0 succinctly explains how to deal with emotions creatively and employ our intelligence in a beneficial way. -The Dalai Lama A fast read with compelling anecdotes and good context in which to understand and improve. -Newsweek Gives abundant, practical findings and insights with emphasis on how to develop EQ. Research shows convincingly that EQ is more important than IQ. --Stephen R. Covey, author, The 7 Habits of Highly Effective People This book can drastically change the way you think about success...read it twice. --Patrick Lencioni, author, The Five Dysfunctions of a Team ?????? ????????? ? ???? ????? - ?????????? ???????????????? ???????? TalentSmart®. ??? ?????????? ??????? ????????? ?????? ? ??????????? ???????? ? ??????? ?????????????? ??????????. TalentSmart ??????????? ????? 75% ???????? ?? ?????? Fortune 500. ???? ???????? www.TalentSmart.com
The book discusses new algorithms capable of searching for, tracking, mapping and providing a visualization of invisible substances. It reports on the realization of a bacterium-inspired robotic controller that can be used by an agent to search for any environmental spatial function such as temperature or pollution. Using the parameters of a mathematical model, the book shows that it is possible to control the exploration, exploitation and sensitivity of the agent. This feature sets the work apart from the usual method of applying the bacterium behavior to robotic agents. The book also discusses how a computationally tractable multi-agent robotic controller was developed and used to track as well as provide a visual map of a spatio-temporal distribution of a substance. On the one hand, this book provides biologists and ecologists with a basis to perform simulations related to how individual organisms respond to spatio-temporal factors in their environment as well as predict and analyze the behavior of organisms at a population level. On the other hand, it offers robotic engineers practical and fresh insights into the development of computationally tractable algorithms for spatial exploratory and mapping robots. It also allows a more general audience to gain an understanding of the design of computational intelligence algorithms for autonomous physical systems.
Knowledge Science: Design Concepts of Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent and optimal fashion. It brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases and how to ensure the security of information in open, easily accessible and fast digital networks. Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent Knowledge Sciences discipline that provides readers with tools, units and measures, to evaluate the flow of knowledge during course work or their research. He brings a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research along with experience both in industry and teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education. Presents a current perspective of developments in central, display, signal, and graphics processor-units as they apply to designing knowledge systems Offers ideas and methodologies for systematically extending the data and object processing in computing into other disciplines such as economics, mathematics, and management Provides best practices and designs for engineers alongside case studies that illustrate practical implementation ideas across multiple domains Syed V. Ahamed taught at the University of Colorado for 2 years before joining Bell Laboratories. After 15 years of research, he returned to teaching as a Professor of Computer Science at the City University of New York. The author has been a Telecommunications consultant to Bell Communications Research, AT&T Bell Laboratories and Lucent Technologies for the last 25 years. He received numerous prizes for his papers from IEEE. He was elected a Fellow of the IEEE for his seminal contribution to the simulation and design studies of the High-speed Digital Subscriber Lines. He has authored and coauthored several books in two broad areas of intelligent AI-based broadband multimedia networks and computational framework for knowledge.
This book is an introduction and deep-dive into the many uses of dynamic SQL in Microsoft SQL Server. Dynamic SQL is key to large-scale searching based upon user-entered criteria. Its also useful in generating value-lists, in dynamic pivoting of data for business intelligence reporting, and for customizing database objects and querying their structure. Executing dynamic SQL is at the heart of applications such as business intelligence dashboards that need to be fluid and respond instantly to changing user needs as those users explore their data and view the results. Yet dynamic SQL is feared by many due to concerns over SQL injection attacks. Reading Dynamic SQL: Applications, Performance, and Security is your opportunity to learn and master an often misunderstood feature, including security and SQL injection. All aspects of security relevant to dynamic SQL are discussed in this book. You will learn many ways to save time and develop code more efficiently, and you will practice directly with security scenarios that threaten companies around the world every day. Dynamic SQL: Applications, Performance, and Security helps you bring the productivity and user-satisfaction of flexible and responsive applications to your organization safely and securely. Your organizations increased ability to respond to rapidly changing business scenarios will build competitive advantage in an increasingly crowded and competitive global marketplace. Discusses many applications of dynamic SQL, both simple and complex. Explains each example with demos that can be run at home and on your laptop. Helps you to identify when dynamic SQL can offer superior performance. Pays attention to security and best practices to ensure safety of your data. What You Will Learn Build flexible applications that respond fast to changing business needs. Take advantage of unconventional but productive uses of dynamic SQL. Protect your data from attack through best-practices in your implementations. Know about SQL Injection and be confident in your defenses against it Run at high performance by optimizing dynamic SQL in your applications. Troubleshoot and debug dynamic SQL to ensure correct results. Who This Book is For Dynamic SQL: Applications, Performance, and Security is for developers and database administrators looking to hone and build their T-SQL coding skills. The book is ideal for advanced users wanting to plumb the depths of application flexibility and troubleshoot performance issues involving dynamic SQL. The book is also ideal for beginners wanting to learn what dynamic SQL is about and how it can help them deliver competitive advantage to their organizations. Edward Pollack is a database administrator with over 15 years of professional experience in database design, optimization, server hardware, and public speaking. He has spoken at dozens of SQL Saturday events, as well as at 24 Hours of PASS and the PASS Summit . His passion for sharing knowledge also leads him to create and coordinate a SQL Saturday in New Yorks Capital Region, where he has lived for the past 19 years. His long experience computing has lead Edward through many different fields of study, but data storage, security, and optimization has been the one area that has always been of most interest; it will continue to be so for as long as people continue to care about their data.
[...] This is a great book about how to find the value creating opportunities and how to utilize them. Reading it is a must for managers who understand that data became an extremely important source of competitive advantage in todays business. György B?gel - CEU Business School (Hungary) This book provides an excellent overview over business intelligence applications. [...] Real-life examples illustrate the pitfalls of BI and data mining applications and offer advice on how to avoid them. Prof. Franz Lehner - University of Passau (Germany) [...] Being responsible for the operative management of a multinational telecommunications company, I had the privilege to meet the authors of this book and to elaborate and build up a robust data warehouse and a management information system that proved to be very useful for the management team. [...] This book is based on this knowledge and competence of the authors, and rightfully belongs in the library of every manager to be used every day! Csaba B?the - CEO, IT Services Hungary (Hungary) Data mining is a very helpful digital technology to discover the golden nuggets of information in a large amount of data. [...] the authors of this book are all experts in this field and have done voluminous research in the field concerned. In conclusion, this book is definitely worth reading. Dr. Zhen Zhao - Jiao Tong University of Shanghai (China) [...] Prof. Cser brilliantly combines the theory with practical application. I recommend this book not only for educators and researchers, but managers and specialists in every branch of the economy. István Lepsényi - CEO, Knorr-Bremse Hungary (Hungary) [...] I strongly recommend this book to engineers, applied scientists, researchers and businessmen battling with data mining proliferation, while searching for clear interpretations and ways for practical applications. Prof. em. Zvi Katz - University of Johannesburg (South Africa)
Imagine an Academy Award grade movie condensed to a couple of pages of rhyming verses but conveying the entire plot and the whole essence of a big production and youll be visualizing the contents of this impressive collection of poetic writings. For those who appreciate finding their thoughts validated in literary works, for those who seek to see things for what they really are, for those who seek understanding and what makes sense, this is a great book to read. And talking about saying something when you see something and telling it like it is, the poet has seen, through the deeds and actions of those he has recorded in his mind, what their thoughts and characters seem to be and tells us, like it is, of the mental pictures he comes up with. Every writing is presented with no unfathomable meanings. And even the musings on everyday familiar scenes are rendered with a heightened sense of searching that makes the reading of this book feel like an exploratory adventure; like a flight of awareness from a flat, two-dimensional world up through any number of higher dimensions. Its an impressive gallery of sharp, mental pictures that inspires you and makes you want to paint some of your own. Its poetry that says what many think and notice. Its poetry that respects and seeks to please the intelligence of the reader. Of all the things youve seen go viral lately, this book has the grade to go viral the most. Its a flight of awareness alright, but dont fasten your seatbelt. Let go and abandon yourself to the adventure of soaring on the wings of words and rhymes.
This second edition provides a systematic introduction to the work and views of the emerging patent-search research and innovation communities as well as an overview of what has been achieved and, perhaps even more importantly, of what remains to be achieved. It revises many of the contributions of the first edition and adds a significant number of new ones. The first part Introduction to Patent Searching includes two overview chapters on the peculiarities of patent searching and on contemporary search technology respectively, and thus sets the scene for the subsequent parts. The second part on Evaluating Patent Retrieval then begins with two chapters dedicated to patent evaluation campaigns, followed by two chapters discussing complementary issues from the perspective of patent searchers and from the perspective of related domains, notably legal search. High Recall Search includes four completely new chapters dealing with the issue of finding only the relevant documents in a reasonable time span. The last (and with six papers the largest) part on Special Topics in Patent Information Retrieval covers a large spectrum of research in the patent field, from classification and image processing to translation. Lastly, the book is completed by an outlook on open issues and future research. Several of the chapters have been jointly written by intellectual property and information retrieval experts. However, members of both communities with a background different to that of the primary author have reviewed the chapters, making the book accessible to both the patent search community and to the information retrieval research community. It also not only offers the latest findings for academic researchers, but is also a valuable resource for IP professionals wanting to learn about current IR approaches in the patent domain. Mihai Lupu obtained his PhD degree in 2008 under the Singapore-MIT Alliance at the National University of Singapore, where he researched data retrieval in peer-to-peer networks. He is continuing his research in the area of information retrieval, with an emphasis on patent retrieval, cross-lingual retrieval and chemical structure retrieval evaluation. Previously, he organised the Chemical IR Evaluation campaign and the Patent Information Retrieval workshop series. Now at the TU Wien he has expanded his research interest into areas such as credibility of IR, eHealth, and multimodal search. Katja Mayer (PhD, University of Vienna) specialized in social studies of science and worked as a consultant, science communication officer and university lecturer. She has been interested in the historical and social implications of information retrieval applications. A focus of her research is on the public impact of search technologies and visualization. Her current research is devoted to data practices in computational social science in the context of the open science movement. She is associated faculty at the University of Vienna and the Technical University Munich. Noriko Kando is a professor in the Information-society Research Division of the National Institute of Informatics (NII), Tokyo, Japan, and has been co-appointed as a professor in the Department of Informatics at the Graduate University of Advanced Studies, Japan. She initiated NTCIR, an evaluation of information-access technologies, such as information retrieval, summarization, question answering, and text mining, using East Asian languages and English documents, and has been a main designer of various tasks including patent retrieval. Anthony (Tony) Trippe is Managing Director of Patinformatics, LLC. Tony has been a patent information professional for twenty-two years, and has spent the last twenty specializing in technical intelligence, patent analytics and patent landscapes. Tony is also an Adjunct Professor of IP Management and Markets at Illinois Institute of Technology teaching a course on patent analysis, and tools for strategic decision making. Mr. Trippe is an influential thought leader in the patent analysis space, has been named one of the Top 300 IP Strategists by IAM Magazine, and invented the term Patinformatics. He is also the author of the popular Patinformatics blog.
Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more. Taking an informal, conversational tone, author Michael Stueben offers programming stories, anecdotes, observations, advice, tricks, examples, and challenges based on his 38 years experience writing code and teaching programming classes. Trying to teach style to beginners is notoriously difficult and can easily appear pedantic. Instead, this book offers solutions and many examples to back up his ideas. Good Habits for Great Coding distills Stuebens three decades of analyzing his own mistakes, analyzing student mistakes, searching for problems that teach lessons, and searching for simple examples to illustrate complex ideas. Having found that most learn by trying out challenging problems, and reflecting on them, each chapter includes quizzes and problems. The final chapter introduces dynamic programming to reduce complex problems to subcases, and illustrates many concepts discussed in the book. Code samples are provided in Python and designed to be understandable by readers familiar with any modern programming language. At the end of this book, you will have acquired a lifetime of good coding advice, the lessons the author wishes he had learned when he was a novice. What Youll Learn Create readable code through examples of good and bad style Write difficult algorithms by comparing your code to the authors code Derive and code difficult algorithms using dynamic programming Understand the psychology of the coding process Who This Book Is For Students or novice programmers who have taken a beginning programming course and understand coding basics. Teachers will appreciate the authors road-tested ideas that they may apply to their own teaching. Michael Stueben started teaching Fortran at Fairfax High School in Virginia in 1977. Eventually the high school computer science curriculum changed from Fortran to BASIC, Pascal, C, C++, Java, and finally to Python. In the last five years, Stueben taught artificial intelligence at Thomas Jefferson High School for Science and Technology in Alexandria, VA. Along the way, he wrote a regular puzzle column for Discover Magazine , published articles in Mathematics Teacher and Mathematics Magazine , published a book on teaching high school mathematics: Twenty Years Before the Blackboard (Mathematical Association of America, 1998). In 2006 he received a Distinguished High School Mathematics Teaching / Edyth May Sliffe Award from the Mathematical Association of America.
This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields. This carefully edited book covers a wide range of new applications of soft computing techniques in Web recommender systems, Online documents classification, Online documents summarization, Online document clustering, Online market intelligence, Web usage profiling, Web data extraction, Social network extraction, Question answering systems, Online health care, Web knowledge management, Multimedia information retrieval, Navigation guides, User profiles extraction, Web-based distributed information systems, Web security applications, Internet of Things Applications and so on. The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-life problems. Further, it has been structured so that each chapter can be read independently of the others. Dr. Rashid Ali Rashid Ali obtained his B.Tech. and M.Tech. degrees from Aligarh Muslim University, India in 1999 and 2001, respectively. He went on to acquire his Ph.D. in Computer Engineering from the same university in 2010 and is currently working as an Associate Professor at the Department of Computer Engineering, Aligarh Muslim University, India. He has authored 8 book chapters and over 100 papers in various international journals and international conference proceedings of repute. His research interests include Web-Searching, Web-Mining and Soft Computing Techniques. Prof. M. M. Sufyan Beg Prof. M. M. Sufyan Beg holds a B.Tech. from Aligarh Muslim University, M.Tech. from the Indian Institute of Technology Kanpur (IIT Kanpur), India and a Ph.D. from the Indian Institute of Technology Delhi (IIT Delhi), India. Currently he is a Professor at the Department of Computer Engineering, Aligarh Muslim University, India. He has also visited the University of California at Berkeley as a BT Fellow. Prof. Beg has published 16 book chapters and over 115 papers. He has served as a reviewer and on the editorial board of many prominent journals. His current research interests are in the areas of Soft Computing, Question Answering Systems, Web Mining and Searching.
Apache Solr: A Practical Approach to Enterprise Search teaches you how to build an enterprise search engine using Apache Solr. Youll soon learn how to index and search your documents; ingest data from varied sources; pre-process, transform and enrich your data; and build the processing pipeline. You will understand the concepts and internals of Apache Solr and tune the results for your clients search needs. The book explains each essential concept-backed by practical and industry examples-to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then covers the end-to-end process of data ingestion from varied sources, pre-processing the data, transformation and enrichment of data, building the processing pipeline, query parsing, and scoring the document. It also teaches you how to make your system intelligent and able to learn through feedback loops. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn to handle user queries and retrieve meaningful results. The book explains how each user query is different and how to address them differently to get the best result. And because document ranking doesn t work the same for all applications, the book shows you how to tune Solr for the application at hand and re-rank the results. Youll see how to influence user experience by providing suggestions and recommendations, and leveraging other interesting features of Solr. Youll also see how to integrate Solr with important related technologies like OpenNLP, Apache Tika, and Apache UIMA, among others, to take your search capabilities to the next level. This book c oncludes with case studies and industry examples, the knowledge of which will be helpful in designing components and putting the bits together. By the end of Apache Solr, you will be proficient in designing, architecting, and developing your search engine and be able to integrate it with other systems. Dikshant Shahi manages the search and platforms team at OnMobile Global Limited. He has been responsible for developing several vertical search engines for categories including music metadata, voice, audio fingerprinting, channel intelligence, log file processing, building analytics, finding deals like Groupon etc. He has also been responsible for handling multi-lingual contents, natural language processing and recommendation. Shahi specializes in Search Engine, Information Retrieval, Data Extraction and Analysis, Application Development, Web Services, and Mobile Applications.