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The Confidential Internet Intelligence Manuscript


The Confidential Internet Intelligence Manuscript
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The Confidential Internet Intelligence Manuscript


The Confidential Internet Intelligence Manuscript
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Author : Mark Joyner
language : en
Publisher: Morgan James Publishing
Release Date : 2003-10-01

The Confidential Internet Intelligence Manuscript written by Mark Joyner and has been published by Morgan James Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-01 with Business & Economics categories.


If I could show you one simple technique that in 5 minutes would increase your Internet sales by 32%, would you do it? What if I had a collection of these techniques that took me years to test and perfect, would you want to use them? Of course - and that's why people are going crazy about this manuscript. No other marketer has ever revealed information this sensitive. For years, I've kept this information quiet - now, you've probably heard the buzz that I've finally released my "CONFIDENTIAL Internet Intelligence Manuscript" to the public. Jay Conrad Levinson said he'd easily pay $2,000 or more for this document. He said, "Every page is a true revelation." Joe Vitale said, "Everyone selling ANYTHING on the Net should keep a copy of this on their desk." This simple document is probably the most powerful thing I've ever written. These simple techniques will increase your sales by 32% (at least). How can you do this? Well, it's quite easy to use and purely scientific. These aren't just theories and guesses - these are SPECIFIC things you can do right now that will increase your sales. And each of these techniques have been SCIENTIFICALLY proven. This book reveals the results of years of research conducted at Aesop showing EXACTLY the simple techniques I use that dramatically increase Internet sales. One of these techniques increased our sales by a clearly measurable 412%. If I could reach out and grab you through this cover I'd shake you to make you realize how important what I'm about to show you is. What if this manuscript is exactly what you need to turn your sales around? There's a reason people are going crazy for this document. DON'T YOU WANT TO KNOW WHY?



Web Copy That Sells


Web Copy That Sells
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Author : Maria Veloso
language : en
Publisher: AMACOM
Release Date : 2013-02-15

Web Copy That Sells written by Maria Veloso and has been published by AMACOM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-15 with Business & Economics categories.


Just as technology is constantly evolving, author Maria Veloso approaches marketing communication from a posture of newer, faster, and more effective techniques. Veloso provides both timeless and cutting-edge methods to help content marketers achieve phenomenal success. With the rise of social networks, “Twitterized” attention spans, and new forms of video content, marketers’ online sales techniques need an upgrade. In Web Copy That Sells, you’ll gain tips for: crafting attention-grabbing, clickable, and actionable content; learn how to streamline key messages down to irresistible “cyber bites” for highly targeted Facebook ads and interactive web banners; discover the latest psychological tactics that compel customers to buy; and learn how to write video scripts that sell. Whether your focus is on web copy, email campaigns, social media, or any of the other latest and greatest opportunities for lead generation through digital marketing communication, these tips will help you pack a fast, powerful, sales-generating punch.



Konsumentenverhalten Im Internet


Konsumentenverhalten Im Internet
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Author : Klaus-Peter Wiedmann
language : de
Publisher: Springer-Verlag
Release Date : 2013-03-13

Konsumentenverhalten Im Internet written by Klaus-Peter Wiedmann and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-13 with Business & Economics categories.


Diese praxisorientierte Einführung gibt in kompakter Weise einen systematischen Einblick in die zentralen Ansätze und Erkenntnisse der Konsumentenverhaltensforschung im Internet. Renommierte Autoren thematisieren die Problembereiche, beschreiben aktuelle Methoden zur Messung des Kundenverhaltens und veranschaulichen, wie der Markterfolg im Internet gesteigert werden kann.



Emerging Infectious Diseases


Emerging Infectious Diseases
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Author :
language : en
Publisher:
Release Date : 2002

Emerging Infectious Diseases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Communicable diseases categories.




Modeling Decision For Artificial Intelligence


Modeling Decision For Artificial Intelligence
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Author : Vicenc Torra
language : en
Publisher: Springer
Release Date : 2011-07-21

Modeling Decision For Artificial Intelligence written by Vicenc Torra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-21 with Computers categories.


This book constitutes the proceedings of the 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011, held in Changsha, China, in July 2011. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.



Books Out Loud


Books Out Loud
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Author :
language : en
Publisher:
Release Date : 2007

Books Out Loud written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Audiobooks categories.




Dark Web


Dark Web
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Author : Hsinchun Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-16

Dark Web written by Hsinchun Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-16 with Computers categories.


The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.



Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid


Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid
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Author : Xin Ning
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-23

Advances In Artificial Intelligence Application In Data Analysis And Control Of Smart Grid written by Xin Ning and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Technology & Engineering categories.


Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.



The Data And Internet Literacy Series


The Data And Internet Literacy Series
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Author : Angela Amarillas
language : en
Publisher:
Release Date : 2002

The Data And Internet Literacy Series written by Angela Amarillas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Internet categories.




Artificial Intelligence In Medicine


Artificial Intelligence In Medicine
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Author : David Riaño
language : en
Publisher: Springer
Release Date : 2019-06-19

Artificial Intelligence In Medicine written by David Riaño and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-19 with Computers categories.


This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.