Openstackでnecが実現する 「OSSクラウド」の世界
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Learning Apache Mahout Classification Table of Contents
Learning Apache Mahout Classification Table of Contents Learning Apache Mahout Classification Credits About the Author About the Reviewers www.PacktPub.com Support files, eBooks, discount offers, and more Why subscribe? Free access for Packt account holders Preface What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Downloading the color images of this book Errata Piracy Questions 1. Classification in Data Analysis Introducing the classification Application of the classification system Working of the classification system Classification algorithms Model evaluation techniques The confusion matrix The Receiver Operating Characteristics (ROC) graph Area under the ROC curve The entropy matrix Summary 2. Apache Mahout Introducing Apache Mahout Algorithms supported in Mahout Reasons for Mahout being a good choice for classification Installing Mahout Building Mahout from source using Maven Installing Maven Building Mahout code Setting up a development environment using Eclipse Setting up Mahout for a Windows user Summary 3. Learning Logistic Regression / SGD Using Mahout Introducing regression Understanding linear regression Cost function Gradient descent Logistic regression Stochastic Gradient Descent Using Mahout for logistic regression Summary 4. Learning the Naïve Bayes Classification Using Mahout Introducing conditional probability and the Bayes rule Understanding the Naïve Bayes algorithm Understanding the terms used in text classification Using the Naïve Bayes algorithm in Apache Mahout Summary 5. Learning the Hidden Markov Model Using Mahout Deterministic and nondeterministic patterns The Markov process Introducing the Hidden Markov Model Using Mahout for the Hidden Markov Model Summary 6. Learning Random Forest Using Mahout Decision tree Random forest Using Mahout for Random forest Steps to use the Random forest algorithm in Mahout Summary 7. -
SEO Footprints
SEO Footprints Brought to you by: Jason Rushton Copyright 2013 Online - M a r k e t i n g - T o o l s . c o m Page 1 Use these “Footprints” with your niche specific keywords to find Backlink sources. Some of the footprints below have already been formed into ready made search queries. TIP* If you find a footprint that returns the results you are looking for, there is no need to use the rest in that section. For example if I am looking for wordpress sites that allow comments and the search query “powered by wordpress” “YOUR YOUR KEYWORDS” returns lots of results there is no need to use all of the others that target wordpress sites as a lot of them will produce similar results. I would use one or two from each section. You can try them out and when you find one you like add it to your own list of favourites. Blogs “article directory powered by wordpress” “YOUR YOUR KEYWORDS” “blog powered by wordpress” “YOUR YOUR KEYWORDS” “blogs powered by typepad” “YOUR YOUR KEYWORDS” “YOURYOUR KEYWORDS” inurl:”trackback powered by wordpress” “powered by blogengine net 1.5.0.7” “YOUR YOUR KEYWORDS” “powered by blogengine.net” “YOUR YOUR KEYWORDS” “powered by blogengine.net add comment” “YOUR YOUR KEYWORDS” “powered by typepad” “YOUR YOUR KEYWORDS” “powered by wordpress” “YOUR YOUR KEYWORDS” “powered by wordpress review theme” “YOUR YOUR KEYWORDS” “proudly powered by wordpress” “YOUR YOUR KEYWORDS” “remove powered by wordpress” “YOUR YOUR KEYWORDS” Copyright 2013 Online - M a r k e t i n g - T o o l s . -
Linux VDS Release Notes
Linux VDS Release Notes Linux VDS Release Notes Introduction Important: This document is based on the most recent available information regarding the release of Linux VDS. Future revisions of this document will include updates not only to the status of features, but also an overview of updates to customer documentation. The Linux VDS platform provides a set of features designed and implemented to suit the value-added reseller (VAR), small hosting service provider (HSP), application service provider (ASP), independent software vendor (ISV), and any small- and medium-sized business (SMB). This document provides administrators who possess minimal to moderate technical skills with a guide to the latest documentation and other sources of information available at the time of the release. This document also includes any cautions and warnings specific to this release. For more information, refer to the following documents: • Linux VDS User’s Guide • Linux VDS Getting Started Guide In addition, you can also refer to the following Web content: • Frequently-asked questions (FAQ) Status of Features Linux VDS introduces new features and enhancements. What’s New? The following table describes the status of features included with this release: Feature Status Accrisoft This release introduces support for Accrisoft e-commerce software (http://www.accrisoft.com/ ). You can use the software to build and manage profitable Web sites. Accrisoft is a fee-based, optional application. This release also provides an installation script to assure the software operates fully and correctly on your account. An uninstall script assures that you can remove the software completely and effectively if you need to do so. -
Automated IT Service Fault Diagnosis Based on Event Correlation Techniques
Automated IT Service Fault Diagnosis Based on Event Correlation Techniques Dissertation an der Fakultat¨ fur¨ Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universitat¨ Munchen¨ vorgelegt von Andreas Hanemann Tag der Einreichung: 22. Mai 2007 1. Berichterstatter: Professor Dr. Heinz-Gerd Hegering, Ludwig-Maximilians-Universit¨at M¨unchen 2. Berichterstatterin: Professor Dr. Gabrijela Dreo Rodosek, Universit¨at der Bundeswehr M¨unchen Automated IT Service Fault Diagnosis Based on Event Correlation Techniques Dissertation an der Fakultat¨ fur¨ Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universitat¨ Munchen¨ vorgelegt von Andreas Hanemann Tag der Einreichung: 22. Mai 2007 Tag der m¨undlichen Pr¨ufung: 19. Juli 2007 1. Berichterstatter: Professor Dr. Heinz-Gerd Hegering, Ludwig-Maximilians-Universit¨at M¨unchen 2. Berichterstatterin: Professor Dr. Gabrijela Dreo Rodosek, Universit¨at der Bundeswehr M¨unchen Acknowledgments This thesis has been written as part of my work as a researcher at the Leib- niz Supercomputing Center (Leibniz-Rechenzentrum, LRZ) of the Bavarian Academy of Sciences and Humanities which was funded by the German Re- search Network (DFN-Verein) as well as in cooperation with the research group of Prof. Dr. Heinz-Gerd Hegering. Apart from the LRZ, this research group called MNM-Team (Munich Network Management Team) is located at the University of Munich (LMU), the Munich University of Technology (TUM) and the University of Federal Armed Forces in Munich. At first, I would like to thank my doctoral advisor Prof. Dr. Heinz-Gerd Hegering for his constant support and helpful advice during the whole prepa- ration time of this thesis. I would also like to express my special gratefulness to my second advisor, Prof. -
A Rule Based Approach for Spam Detection
A RULE BASED APPROACH FOR SPAM DETECTION Thesis submitted in partial fulfillment of the requirements for the award of degree of Master of Engineering In Computer Science & Engineering By: Ravinder Kamboj (Roll No. 800832030) Under the supervision of: Dr. V.P Singh Mrs. Sanmeet Bhatia Assistant Professor Assistant Professor Computer Science & Engineering Department of SMCA COMPUTER SCIENCE AND ENGINEERING DEPARTMENT THAPAR UNIVERSITY PATIALA – 147004 JULY- 2010 i ii Abstract Spam is defined as a junk Email or unsolicited Email. Spam has increased tremendously in the last few years. Today more than 85% of e-mails that are received by e-mail users are spam. The cost of spam can be measured in lost human time, lost server time and loss of valuable mail. Spammers use various techniques like spam via botnet, localization of spam and image spam. According to the mail delivery process anti-spam measures for Email Spam can be divided in to two parts, based on Emails envelop and Email data. Black listing, grey listing and white listing techniques can be applied on the Email envelop to detect spam. Techniques based on the data part of Email like heuristic techniques and Statistical techniques can be used to combat spam. Bayesian filters as part of statistical technique divides the income message in to words called tokens and checks their probability of occurrence in spam e-mails and ham e-mails. Two types of approaches can be followed for the detection of spam e-mails one is learning approach other is rule based approach. Learning approach required a large dataset of spam e-mails and ham e-mails is required for the training of spam filter; this approach has good time characteristics filter can be retrained quickly for new Spam. -
Ticketing Systems with RT
Ticketing Systems with RT Network Startup Resource Center www.nsrc.org These materials are licensed under the Creative Commons Attribution-NonCommercial 4.0 International license (http://creativecommons.org/licenses/by-nc/4.0/) Typical Support Scenario • Lots of email traffic requesting help, request for services, etc • Archived as text without classification • Very difficult to find current status or problem history • Sometimes problems were forgotten or never resolved • Difficult for another person to follow up on a problem that someone else started dealing with Why Ticketing Systems? Ticketing Systems Why are they important? • Track all events, failures and issues • Focal point for help desk communication Use it to track all communications • Both internal and external Events originating from the outside: • customer complaints Events originating from the inside: • System outages (direct or indirect) • Planned maintenance, upgrades, etc. Ticketing Systems (Contd.) • Use a ticket system to follow cases, including communication between the support staff • Each case is considered a ticket • Each ticket has a ticket number • Each ticket goes through a similar life cycle: • New – Open – … – Resolved Help Request with Tickets Request Tracker / Trac RT • Heavily used worldwide • Can be customized to your location • Somewhat difficult to install and configure • Handles large-scale operations • A hybrid including wiki & project management features • Web-only ticket system works well but not robust as RT • Often used for ”trac”king group projects. -
OTRS Asterisk PBX Integration Module PIM V2.0.0B Administrator's
OTRS Asterisk PBX Integration Module PIM v2.0.0b Administrator's Guide 2019 © IP-LAB.RU Contents Introduction .................................................................................................................................................. 3 Preparing Asterisk PBX for integration with OTRS ........................................................................................ 4 Install the PIM package on the OTRS server ................................................................................................. 5 Configuring the PIMv2.0.0b module ............................................................................................................. 6 Definition of "Tracking number" ................................................................................................................... 8 Setting agent extensions ............................................................................................................................... 9 Assign agent extensions to the "Tracking Number" ................................................................................... 10 Customer User identification ...................................................................................................................... 11 CallerID modification ................................................................................................................................... 11 Starting the service .................................................................................................................................... -
Onapp Admin Guide
2.0 Admin Guide 2.0 Admin Guide Contents 0. About This Guide ............................................................................................... 5 1. OnApp Overview ................................................................................................ 6 1.1 Servers ................................................................................................................... 6 1.2 Networks ................................................................................................................ 7 1.3 Templates .............................................................................................................. 8 1.4 Virtual Machines .................................................................................................... 8 1.5 Scalability .............................................................................................................. 8 1.6 Availability and Reliability .................................................................................... 8 1.7 Security .................................................................................................................. 9 1.8 API and Integration ............................................................................................... 9 2. OnApp Hardware & Software Requirements ................................................. 10 2.1 Hypervisor Servers ............................................................................................. 10 2.2 Control Panel Server .......................................................................................... -
Return of Organization Exempt from Income
OMB No. 1545-0047 Return of Organization Exempt From Income Tax Form 990 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except black lung benefit trust or private foundation) Open to Public Department of the Treasury Internal Revenue Service The organization may have to use a copy of this return to satisfy state reporting requirements. Inspection A For the 2011 calendar year, or tax year beginning 5/1/2011 , and ending 4/30/2012 B Check if applicable: C Name of organization The Apache Software Foundation D Employer identification number Address change Doing Business As 47-0825376 Name change Number and street (or P.O. box if mail is not delivered to street address) Room/suite E Telephone number Initial return 1901 Munsey Drive (909) 374-9776 Terminated City or town, state or country, and ZIP + 4 Amended return Forest Hill MD 21050-2747 G Gross receipts $ 554,439 Application pending F Name and address of principal officer: H(a) Is this a group return for affiliates? Yes X No Jim Jagielski 1901 Munsey Drive, Forest Hill, MD 21050-2747 H(b) Are all affiliates included? Yes No I Tax-exempt status: X 501(c)(3) 501(c) ( ) (insert no.) 4947(a)(1) or 527 If "No," attach a list. (see instructions) J Website: http://www.apache.org/ H(c) Group exemption number K Form of organization: X Corporation Trust Association Other L Year of formation: 1999 M State of legal domicile: MD Part I Summary 1 Briefly describe the organization's mission or most significant activities: to provide open source software to the public that we sponsor free of charge 2 Check this box if the organization discontinued its operations or disposed of more than 25% of its net assets. -
Appendix a the Ten Commandments for Websites
Appendix A The Ten Commandments for Websites Welcome to the appendixes! At this stage in your learning, you should have all the basic skills you require to build a high-quality website with insightful consideration given to aspects such as accessibility, search engine optimization, usability, and all the other concepts that web designers and developers think about on a daily basis. Hopefully with all the different elements covered in this book, you now have a solid understanding as to what goes into building a website (much more than code!). The main thing you should take from this book is that you don’t need to be an expert at everything but ensuring that you take the time to notice what’s out there and deciding what will best help your site are among the most important elements of the process. As you leave this book and go on to updating your website over time and perhaps learning new skills, always remember to be brave, take risks (through trial and error), and never feel that things are getting too hard. If you choose to learn skills that were only briefly mentioned in this book, like scripting, or to get involved in using content management systems and web software, go at a pace that you feel comfortable with. With that in mind, let’s go over the 10 most important messages I would personally recommend. After that, I’ll give you some useful resources like important websites for people learning to create for the Internet and handy software. Advice is something many professional designers and developers give out in spades after learning some harsh lessons from what their own bitter experiences. -
Locating Exploits and Finding Targets
452_Google_2e_06.qxd 10/5/07 12:52 PM Page 223 Chapter 6 Locating Exploits and Finding Targets Solutions in this chapter: ■ Locating Exploit Code ■ Locating Vulnerable Targets ■ Links to Sites Summary Solutions Fast Track Frequently Asked Questions 223 452_Google_2e_06.qxd 10/5/07 12:52 PM Page 224 224 Chapter 6 • Locating Exploits and Finding Targets Introduction Exploits, are tools of the hacker trade. Designed to penetrate a target, most hackers have many different exploits at their disposal. Some exploits, termed zero day or 0day, remain underground for some period of time, eventually becoming public, posted to newsgroups or Web sites for the world to share. With so many Web sites dedicated to the distribution of exploit code, it’s fairly simple to harness the power of Google to locate these tools. It can be a slightly more difficult exercise to locate potential targets, even though many modern Web application security advisories include a Google search designed to locate potential targets. In this chapter we’ll explore methods of locating exploit code and potentially vulnerable targets.These are not strictly “dark side” exercises, since security professionals often use public exploit code during a vulnerability assessment. However, only black hats use those tools against systems without prior consent. Locating Exploit Code Untold hundreds and thousands of Web sites are dedicated to providing exploits to the gen- eral public. Black hats generally provide exploits to aid fellow black hats in the hacking community.White hats provide exploits as a way of eliminating false positives from auto- mated tools during an assessment. Simple searches such as remote exploit and vulnerable exploit locate exploit sites by focusing on common lingo used by the security community. -
Software Übersicht
Software Übersicht Serendipity WordPress eggBlog open Blog Nucleus CMS Pixie Blogs b2evolution Dotclear PivotX LifeType Textpattern Chyrp StatusNet Sharetronix Micro Blogs PageCookery Storytlr Zikula Concrete5 Mahara Xoops phpwcms Tribiq ocPortal CMS Made Simple ImpressCMS Joomla 2.5/Joomla 3.1 Contao Typo3 Website Baker SilverStripe Quick.cms sNews PyroCMS ImpressPages Portals/CMS Geeklog Redaxscript Pluck Drupal 7/Drupal 8 PHP-fusion BIGACE Mambo Silex Subrion PHP-nuke Saurus Monstra Pligg jCore Tiki Wiki CMS MODx Fork GroupWare e107 phpBB Phorum bbPress AEF PunBB Vanilla Forums XMB SMF FUDforum MyBB FluxBB miniBB Gallery Piwigo phpAlbum Image Galleries Coppermine Pixelpost 4images TinyWebGallery ZenPhoto Plogger DokuWiki PmWiki Wikis MediaWiki WikkaWiki Social Networking Dolphin Beatz Elgg Etano Jcow PeoplePods Oxwall Noahs Classifieds GPixPixel Ad Management OpenX OSClass OpenClassifieds WebCalendar phpScheduleIt Calenders phpicalendar ExtCalendar BlackNova Traders Word Search Puzzle Gaming Shadows Rising MultiPlayer Checkers phplist Webmail Lite Websinsta maillist OpenNewsletter Mails SquirrelMail ccMail RoundCube LimeSurvey LittlePoll Matomo Analytics phpESP Simple PHP Poll Open Web Analytics Polls and Surveys CJ Dynamic Poll Aardvark Topsites Logaholic EasyPoll Advanced Poll dotProject Feng Office Traq phpCollab eyeOSh Collabtive Project PHProjekt The Bug Genie Eventum Management ProjectPier TaskFreak FlySpray Mantis Bug tracker Mound Zen Cart WHMCS Quick.cart Magento Open Source Point of Axis osCommerce Sale TheHostingTool Zuescart