Specify your canonical
Thursday, February 12, 2009 at 12:30 PM
Carpe diem on any duplicate content worries: we now support a format that allows you to publicly specify your preferred version of a URL. If your site has identical or vastly similar content that's accessible through multiple URLs, this format provides you with more control over the URL returned in search results. It also helps to make sure that properties such as link popularity are consolidated to your preferred version
New Electronic Titles October 2009 [electronic resource] / Government Printing Office. -- [Washington, DC : GPO, 2009] -- Web page. -- Mode of Access: World Wide Web. -- Title from HTML header. -- Description based on contents viewed Nov. 6, 2009. 1. Government documents.
How accurate is Statbrain? Statbrain estimates the number of visits that a website has based on offsite factors like backlinks, Alexa Rank etc. Statbrain does not have access to log files or any counter information. The number of visits that Statbrain estimates gives you an idea of the number of visits that a website has, but not the exact visitor number.
WebToMail Are you at job and you can only check your mails? This is your solution. WebToMail is a free service where you can receive web pages by e-mail. It's simple and very easy. Just send a mail to send@webtomail.co.cc with the URL* of the desired web-page as subject. In a few minutes you will be receiving the web page in HTML format in your mail account.
A topical subject used as a subject added entry. Subject added entries are assigned to a bibliographic record to provide access according to established subject cataloging principles and guidelines. Any institution assigning subject headings based on the lists and authority files identified in the 2nd indicator position or in subfield ‡2 may use field 650. A topical subject added entry consists of a general subject term including the name of an event or object.A topical subject used as a subject added entry. Subject added entries are assigned to a bibliographic record to provide access according to established subject cataloging principles and guidelines. Any institution assigning subject headings based on the lists and authority files identified in the 2nd indicator position or in subfield ‡2 may use field 650. A topical subject added entry consists of a general subject term including the name of an event or object.
This article describes common misconceptions about Uniform Resource Locator (URL) encoding, then attempts to clarify URL encoding for HTTP, before presenting frequent problems and their solutions. While this article is not specific to any programming language, we illustrate the problems in Java and finish by explaining how to fix URL encoding problems in Java, and in a web application at several levels.
Are you sick of posting URLs in emails only to have it break when sent causing the recipient to have to cut and paste it back together? Then you've come to the right place. By entering in a URL in the text fie
a list of 50+ similar services that are absolutely free and require no e-mail registration to use. Included in the list are file size limits, download limits and the amount of time the file remains on the server for download.
provides direct links to over 7000 scholarly periodicals which allow some or all of their online content to be viewed by ANYONE with Internet access for free
Was ist besser? Und wie kann ich mit einer Festlegung des Domainnamens Doppelten Content vermeiden? Das Thema ist schon seit bestehen des World Wide Webs...
There are two ways to specify how GET parameters are interpreted:
Set the URIEncoding attribute on the <Connector> element in server.xml to something specific (e.g. URIEncoding="UTF-8").
Set the useBodyEncodingForURI attribute on the <Connector> element in server.xml to true. This will cause the Connector to use the request body's encoding for GET parameters.
Tweets often contain URLs or links to a variety of content on the web, including images, videos, news articles and blog posts. SpiderDuck is a service at Twitter that fetches all URLs shared in Twe......
OpenID starts with the concept that anyone can identify themselves on the Internet the same way websites do-with a URI (also called a URL or web address). Since URIs are at the very core of Web architecture, they provide a solid foundation for user-centri
E. Baykan, M. Henzinger, L. Marian, and I. Weber. Proceedings of the 18th International Conference on World Wide Web, page 1109--1110. New York, NY, USA, ACM, (2009)
M. Kan, and H. Thi. Proceedings of the 14th ACM International Conference on Information and Knowledge Management, page 325--326. New York, NY, USA, ACM, (2005)
H. TARIQ, W. YANG, I. HAMEED, B. AHMED, and R. KHAN. IJIRIS:: International Journal of Innovative Research Journal in Information Security, Volume IV (Issue XII):
01-07(December 2017)1 Hugh A. Chipman, Edward I. George, and Robert E. McCulloch. “Bayesian CART Model Search.” Journal of the American Statistical Association, Vol. 93(443), pp 935–948, September 1998. 2 Sujata Garera, Niels Provos, Monica Chew, and Aviel D. Rubin. “A framework for detection and measurement of phishing attacks.” In Proceedings of the 2007 ACM workshop on Recurring malicious code - WORM ’07, page 1, 2007. 3 Abhishek Gattani, AnHai Doan, Digvijay S. Lamba, NikeshGarera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, AnandRajaraman, and VenkyHarinarayan. “Entity extraction, linking, classifica- tion, and tagging for social media.” Proceedings of the VLDB Endowment, Vol. 6(11), pp 1126–1137, August 2013. 4 David D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. pages 4–15. 1998. 5 Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. “Learning to detect malicious URLs.” ACM Transactions on Intelligent Systems and Technology, Vol. 2(3), pp 1–24, April 2011. 6 FadiThabtah Maher Aburrous, M.A.Hossain, KeshavDahal. “Intelligent phishing detection system for e-banking using fuzzy data mining.” Expert Systems with Applications, Vol. 37(12), pp 7913–7921, Dec 2010. 7 AnkushMeshram and Christian Haas. “Anomaly Detection in Industrial. Networks using Machine Learning: A Roadmap.” In Machine Learning for Cyber Physical Systems, pages 65–72. Springer Berlin Heidelberg, Berlin, Heidelberg, 2017. 8 Xuequn Wang Nik Thompson,Tanya Jane McGill. “Security begins at home: Determinants of home computer and mobile device security behavior.” Computers & Security, Vol. 70, pp 376–391, Sep 2017. 9 Dan Steinberg and Phillip Colla. “CART: Classification and Regression Trees.” The Top Ten Algorithms in Data Mining, pp 179–201, 2009. 10 D. Teal. “Information security techniques including detection, interdiction and/or mitigation of memory injection attacks,” Google patents. Oct 2013. 11 Kurt Thomas, Chris Grier, Justin Ma, Vern Paxson, and Dawn Song. “Design and Evaluation of a Real-Time URL Spam Filtering Service.” In 2011 IEEE Symposium on Security and Privacy, pp 447–462. May 2011. 12 Sean Whalen, Nathaniel Boggs, and Salvatore J. Stolfo. “Model Aggregation for Distributed Content Anomaly Detection.” In Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop - AISec ’14, pp 61–71, New York, USA, 2014. ACM Press. 13 Ying Yang and Geoffrey I. Webb. “Discretization for Naive-Bayes learning: managing a discretization bias and variance.” Machine Learning, Vol. 74(1), pp 39–74, Jan 2009..