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Web Usage Mining
 
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Clustering of the web users based on the user navigation patterns....
Views: 6910 GRIETCSEPROJECTS
Introduction to Event Log Mining with R
 
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Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of Things (IoT) architectures. Even Enterprise Resource Planning (ERP) systems produce event logs! Given the rich and varied data contained in event logs, mining these assets is a critical skill needed by every Data Scientist, Business/Data Analyst, and Program/Product Manager. At this meetup, presenter Dave Langer, will show how easy it is to get started mining your event logs using the OSS tools of R and ProM. Dave will cover the following during the presentation: • The scenarios and benefits of event log mining • The minimum data required for event log mining • Ingesting and analyzing event log data using R • Process Mining with ProM • Event log mining techniques to create features suitable for Machine Learning models • Where you can learn more about this very handy set of tools and techniques *R source code will be made available via GitHub here: https://github.com/EasyD/IntroToEventLogMiningMeetup Find out more about David here: https://www.meetup.com/data-science-dojo/events/235913034/ -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8y2K0 See what our past attendees are saying here: https://hubs.ly/H0f8xNz0 -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 5827 Data Science Dojo
Customer Behaviour Prediction Using Web Usage Mining
 
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Get more details on this system with details at http://nevonprojects.com/customer-behavior-prediction-using-web-usage-mining/ System monitors users web usage data and provides appropriate reporting to admin
Views: 5895 Nevon Projects
USER ACTIVITY TRACKING USING WEB LOG DATA  MINING
 
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Implement a data mining approach in order to increase the revenue generation by analysing the users browsing behaviour for the TCP Training Company’s website based on their web log data.
Views: 636 Bajju Sampath
Spark basic tutorial for log mining
 
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Hello and welcome to this video tutorial on how to use apache spark for log mining. In this demo we are going to see apache spark application for processing large collection of data. This is kind of big data operation, where you have Tera bytes of Data collected over time and want to look for a particular error message. Something similar to what used for Metrix dashboard in normal BI operations. In this demo I’m going to show you how to execute this log mining exercise across spark cluster. It’s a kind of theory of operation.
Views: 1839 Navneet Kumar
Web log mining using Association rule mining
 
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Web log mining using Association rule mining
Graph Mining for Log Data Presented by David Andrzejewski
 
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This talk discusses a few ways in which machine learning techniques can be combined with human guidance in order to understand what the logs are telling us. Sumo Training: https://www.sumologic.com/learn/training/
Views: 1885 Sumo Logic, Inc.
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25187 GoogleTechTalks
How to use Web Log Storming for advanced web analytics
 
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This video shows how to use Web Log Storming log analyzer (http://www.weblogstorming.com/), a software that gives you insights about your website visitors. It quickly goes through basic reports and then presents specific and unique features such are live filtering, drilling down, segmentation, setting goals for conversion calculation, etc.
Views: 1653 Dataland Software
Mining your log files made simple with the ELK Stack
 
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Log files hold a vault of useful information for operations as well as business. Processing your log files could reveal a host of useful information: -Who uses that brand new web solution you have just deployed? -Which country are they in? -What device are they using? -When your host is under load, what else is happening in the environment? -That pesky, intermittent error is back! How do you find it? -Our build server is slow, why? Processing application and server log files used to be such a chore. Getting a unified view of all logs required wizard-like skills! But over the past few years simple and easy solutions have emerged. Best of all, they’re free. That’s right, they’re all open source! Join Chris for a hands-on presentation, where we’ll pull some useful open source Docker containers and set to work making them weave some magic on our log files. Chris covers some Docker Compose basics to get you started with a simple ELK stack (Elastic Search, Log Stash and Kibana), configure some endpoints and setup log shipping (for Linux and Windows) so that we can process log files. He will have you processing logs, and then looking at ways to transform and embellish your log data to add IT operational, as well as business value. Using your transformed data, he also covers visualising the data using Kibana. To close out he will have you considering alternative technologies such as Prometheus and Grafana, and discuss the pros and cons of the different technologies. Mining log files has never been so simple. Join Chris to see how easy it is to get started.
Web logs: Collecting and analysing - Nikola Krgovic
 
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Web log analysis is a standard procedure on most sites. As the number of visits grow this is one of the first practical applications of Big Data systems. The goal of the presentation is to demonstrate, on an example, how to build a system to analyse web logs. As a basic tool I'm suggestion Cloudera CDH, as a tool for data collection StreamSets, and for keeping I suggest parallel storage in two formats: Tab separated for analysis, and ElasticSearch with Kibana front-end for quick insights and dashboards. You can find this speach presentation on the next link: http://www.slideshare.net/Insitute_of_Contemporary_Sciences/web-logs-collecting-and-analysing-nikola-krgovic
web logs
 
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http://www.veblogs.com/ With a Blog, you can submit to the many Blog directories that exist online.
Views: 25 juliangoal
Log File Frequency Analysis with Python
 
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Information Security professionals often have reason to analyze logs. Whether Red Team or Blue Team, there are countless times that you find yourself using "grep", "tail", "cut", "sort", "uniq", and even "awk"! While these powerful UNIX methods take us far, there is always that time when you want more power! In this webcast, Joff Thyer will discuss using Python regular expressions, and dictionaries to extract useful data for frequency analysis. If you want to learn even more about Python, join Joff for SANS SEC573 - "Automating Information Security with Python" www.sans.org/sec573 Slides available here: https://www.blackhillsinfosec.com/webcast-log-file-frequency-analysis-python/
SmarterStats 6.x Web Log Analytics - The Power of Data Mining
 
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See how data mining your Web logs can assist in truly understanding your traffic and learning visitor behavior, troubleshooting page and server issues, and more. Learn more about SmarterStats 6.x Web Log Analytics at: http://www.smartertools.com/smarterstats
Views: 1475 SmarterTools Inc.
Server Log Analysis with Pandas
 
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Taavi Burns Use iPython, matplotlib, and Pandas to slice, dice, and visualize your application's behaviour through its logs.
Views: 8813 Next Day Video
Web usage and content mining for modelling the users of the Bidasoa Turismo website
 
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Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it. Full article available on ScienceDirect: http://dx.doi.org/10.1016/j.eswa.2013.07.040
Views: 369 Elsevier Journals
DATA MINING LOG FILES
 
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Views: 321 Hari Sainath
Spark job output for analyzing web server log files
 
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This video shows the output of the spark job for analyzing web server logs from the honeypots set up in the us-east-1 region.
Views: 97 Amit Arora
How To Track Website Visitors Using Your Server Logs
 
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http://www.jeffmccall.com - How to track website visitors using your server logs. A simple video guide to the information avaiable to Internet marketers of all levels within their website server logs.
Views: 2418 Jeff's Videos
295 - Analyzing Your Web Server Logs
 
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Robbie and Eric show you a few great tools for analyzing your Apache server logs on Linux, and even have some fun in light of Nostalgic Gamer Month.
How to analyze log files in Hive | Regex SerDe in Hive
 
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http://www.bigdataanalyst.in In this video i am explain how to analyze Weblog files in Hive? Follow: https://www.facebook.com/BigDataAnalyst
Ingmar Weber - Mining Web Query Logs to Analyze Political Issues
 
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NetSci & WebSci Conference. June 23rd, 2012.
Views: 45 SonicNU
Web Usage Mining  A Survey on Pattern Extraction from Web Logs
 
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ChennaiSunday Systems Pvt.Ltd We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website IEEE 2014 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=1&catName=IEEE_2014-2015_Java_Projects IEEE 2014 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=20&catName=IEEE_2014-2015_DotNet_Projects Output Videos: https://www.youtube.com/channel/UCCpF34pmRlZbAsbkareU8_g/videos IEEE 2013 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=2&catName=IEEE_2013-2014_Java_Projects IEEE 2013 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=3&catName=IEEE_2013-2014_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCpo4sL0gR8MFTOwGBCDqeFQ/videos IEEE 2012 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=26&catName=IEEE_2012-2013_Java_Projects Output Videos: https://www.youtube.com/user/siva6351/videos IEEE 2012 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=28&catName=IEEE_2012-2013_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UC4nV8PIFppB4r2wF5N4ipqA/videos IEEE 2011 Java Projects: http://chennaisunday.com/projectsNew.php?id=29&catName=IEEE_2011-2012_Java_Project IEEE 2011 Dotnet Projects: http://chennaisunday.com/projectsNew.php?id=33&catName=IEEE_2011-2012_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCtmBGO0q5XZ5UsMW0oDhZ-A/videos IEEE PHP Projects: http://www.chennaisunday.com/projectsNew.php?id=41&catName=IEEE_PHP_Projects Output Videos: https://www.youtube.com/user/siva6351/videos Java Application Projects: http://www.chennaisunday.com/projectsNew.php?id=34&catName=Java_Application_Projects Output Videos: https://www.youtube.com/channel/UCPqHN-x10SazValUi9Konlg/videos Dotnet Application Projects: http://www.chennaisunday.com/projectsNew.php?id=35&catName=Dotnet_Application_Projects Output Videos: https://www.youtube.com/channel/UCMTKwKCCJvpErttDqCuG1jA/videos Android Application Projects: http://www.chennaisunday.com/projectsNew.php?id=36&catName=Android_Application_Projects PHP Application Projects: http://www.chennaisunday.com/projectsNew.php?id=37&catName=PHP_Application_Projects Struts Application Projects: http://www.chennaisunday.com/projectsNew.php?id=38&catName=Struts_Application_Projects Java Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=39&catName=Java_Mini_Projects Dotnet Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=40&catName=Dotnet_Mini_Projects -- *Contact * * P.Sivakumar MCA Director Chennai Sunday Systems Pvt Ltd Phone No: 09566137117 No: 1,15th Street Vel Flats Ashok Nagar Chennai-83 Landmark R3 Police Station Signal (Via 19th Street) URL: www.chennaisunday.com Map View: http://chennaisunday.com/locationmap.php
Views: 763 Chennai Sunday
Web server log analysis on huge dataset using partitioning approach
 
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This project is for analyzing webserver log analysis using Apache Hadoop and Hive
Final Year Projects 2015 | Automated web usage data mining and recommendation system
 
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Including Packages ===================== * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 3148 Clickmyproject
Web usage mining framework for mining evolving user profile in dynamic website
 
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www.onlinefreeprojects.com [email protected] Chennai 08680834555/08681834555
Views: 464 OnlineFree Projects
Malicious Use Detection through Massive Web Access Log Analysis
 
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A visual analytics approach
Views: 244 Wenhan Lu
Final Year Projects | Web usage mining to improve the design of an e-commerce
 
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Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-778-1155 +91 958-553-3547 +91 967-774-8277 Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected] chat: http://support.elysiumtechnologies.com/support/livechat/chat.php
Views: 1895 myproject bazaar
The More You Bro: Log Mining Efficiency
 
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This video goes into more detail about log mining, this time focusing on efficiency. You can find the cf tool we used in the video here: ftp://anonymous:[email protected]/cf.tar.gz Learn more about Bro at http://bro.org Follow on Twitter @Bro_IDS YouTube Channel: www.youtube.com/user/BroPlatform
Views: 2302 Zeek
Log Visualization
 
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This video is part of a series showcasing the use of the ProM process mining framework. Each video focusses on a specific process mining task or algorithm. ProM is open-source and freely available at: http://www.promtools.org In this video we discuss the visualization of event logs in ProM. Event logs are the starting point of most process mining techniques. Two different visualizers are discussed: the default log visualizer and the Explore Event Log visualizer that is part of the LogEnhancement package. For more information on process mining, please visit: http://www.processmining.org/ Created by: Bart Hompes Special Thanks: Elham Ramezani
Views: 1922 P2Mchannel
What is a Weblog (Blog)?
 
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An overview of what a weblog (blog) is, for personal and commercial uses. Also, a look at a free WordPress template and a few different commercial weblogs.
Views: 5041 GreatWebPortals
Predicting Users Behaviors Using Web Mining
 
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ChennaiSunday Systems Pvt.Ltd We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website IEEE 2014 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=1&catName=IEEE_2014-2015_Java_Projects IEEE 2014 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=20&catName=IEEE_2014-2015_DotNet_Projects Output Videos: https://www.youtube.com/channel/UCCpF34pmRlZbAsbkareU8_g/videos IEEE 2013 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=2&catName=IEEE_2013-2014_Java_Projects IEEE 2013 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=3&catName=IEEE_2013-2014_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCpo4sL0gR8MFTOwGBCDqeFQ/videos IEEE 2012 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=26&catName=IEEE_2012-2013_Java_Projects Output Videos: https://www.youtube.com/user/siva6351/videos IEEE 2012 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=28&catName=IEEE_2012-2013_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UC4nV8PIFppB4r2wF5N4ipqA/videos IEEE 2011 Java Projects: http://chennaisunday.com/projectsNew.php?id=29&catName=IEEE_2011-2012_Java_Project IEEE 2011 Dotnet Projects: http://chennaisunday.com/projectsNew.php?id=33&catName=IEEE_2011-2012_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCtmBGO0q5XZ5UsMW0oDhZ-A/videos IEEE PHP Projects: http://www.chennaisunday.com/projectsNew.php?id=41&catName=IEEE_PHP_Projects Output Videos: https://www.youtube.com/user/siva6351/videos Java Application Projects: http://www.chennaisunday.com/projectsNew.php?id=34&catName=Java_Application_Projects Dotnet Application Projects: http://www.chennaisunday.com/projectsNew.php?id=35&catName=Dotnet_Application_Projects Android Application Projects: http://www.chennaisunday.com/projectsNew.php?id=36&catName=Android_Application_Projects PHP Application Projects: http://www.chennaisunday.com/projectsNew.php?id=37&catName=PHP_Application_Projects Struts Application Projects: http://www.chennaisunday.com/projectsNew.php?id=38&catName=Struts_Application_Projects Java Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=39&catName=Java_Mini_Projects Dotnet Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=40&catName=Dotnet_Mini_Projects -- *Contact * * P.Sivakumar MCA Director Chennai Sunday Systems Pvt Ltd Phone No: 09566137117 No: 1,15th Street Vel Flats Ashok Nagar Chennai-83 Landmark R3 Police Station Signal (Via 19th Street) URL: www.chennaisunday.com Map View: http://chennaisunday.com/locationmap.php
Views: 724 Chennai Sunday
web usage mining research papers 2011
 
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Visit Our Website: https://goo.gl/TIo1T2?28463
Server Log Analysis with Pandas
 
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Taavi Burns Use iPython, matplotlib, and Pandas to slice, dice, and visualise your application's behaviour through its logs.
Views: 3268 Next Day Video
How to use WebLog Expert
 
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WebLog Expert is a fast and powerful access log analyzer. WebLog Expert2 is developed by Alentum Software, Inc.. Read the full review of WebLog Expert at http://weblog-expert.software.informer.com
Views: 1765 Matthew Finchly
Researching Apache Web Log Activity with Kirix Strata
 
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Despite tools like Google Analytics, sometimes it is very useful to be able to look at raw Apache log files to research a problem. This video explores Strata's Apache Log Import extension and researching a problematic spider in a log file. Related blog post can be found here: http://www.kirix.com/stratablog/researching-problems-in-your-apache-web-log-activity
Views: 400 kirixcorp
AWS re:Invent 2014 | (WEB301) Operational Web Log Analysis
 
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"Log data contains some of the most valuable raw information you can gather and analyze about your infrastructure and applications. Amid the mess of confusing lines of seemingly random text can be hints about performance, security, flaws in code, user access patterns, and other operational data. Without the proper tools, finding insights in these logs can be like searching for a hay-colored needle in a haystack. In this session you learn what practices and patterns you can easily implement that can help you better understand your log files. You see how you can customize web logs to add more information to them, how to digest logs from around your infrastructure, and how to analyze your log files in near real time. "
Views: 1633 Amazon Web Services
05 Streaming Analytics - Flume - Web Server logs to HDFS - Defining Source
 
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Connect with me or follow me at https://www.linkedin.com/in/durga0gadiraju https://www.facebook.com/itversity https://github.com/dgadiraju https://www.youtube.com/itversityin https://twitter.com/itversity
Views: 1901 itversity
Let's have a look at WebLog Expert
 
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WebLog Expert is a fast and powerful access log analyzer. WebLog Expert2 is developed by Alentum Software, Inc.. Read the full review of WebLog Expert at http://weblog-expert.software.informer.com
Views: 891 Matthew Finchly

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