Home
Search results “Web log mining”
Web log mining using Association rule mining
 
34:47
Web log mining using Association rule mining
Web Mining - Tutorial
 
11:02
Web Mining Web Mining is the use of Data mining techniques to automatically discover and extract information from World Wide Web. There are 3 areas of web Mining Web content Mining. Web usage Mining Web structure Mining. Web content Mining Web content Mining is the process of extracting useful information from content of web document.it may consists of text images,audio,video or structured record such as list & tables. screen scaper,Mozenda,Automation Anywhere,Web content Extractor, Web info extractor are the tools used to extract essential information that one needs. Web Usage Mining Web usage Mining is the process of identifying browsing patterns by analysing the users Navigational behaviour. Techniques for discovery & pattern analysis are two types. They are Pattern Analysis Tool. Pattern Discovery Tool. Data pre processing,Path Analysis,Grouping,filtering,Statistical Analysis, Association Rules,Clustering,Sequential Pattterns,classification are the Analysis done to analyse the patterns. Web structure Mining Web structure Mining is a tool, used to extract patterns from hyperlinks in the web. Web structure Mining is also called link Mining. HITS & PAGE RANK Algorithm are the Popular Web structure Mining Algorithm. By applying Web content mining,web structure Mining & Web usage Mining knowledge is extracted from web data.
Web Usage Mining
 
05:16
Clustering of the web users based on the user navigation patterns....
Views: 7922 GRIETCSEPROJECTS
USER ACTIVITY TRACKING USING WEB LOG DATA  MINING
 
04:07
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: 749 Bajju Sampath
Introduction to Event Log Mining with R
 
01:39:08
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/H0hC4gG0 Watch the latest video tutorials here: https://hubs.ly/H0hC5sv0 See what our past attendees are saying here: https://hubs.ly/H0hC4jb0 -- 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: 7388 Data Science Dojo
What is a Weblog (Blog)?
 
08:15
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: 5541 GreatWebPortals
Spark basic tutorial for log mining
 
07:29
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: 2081 Navneet Kumar
Customer Behaviour Prediction Using Web Usage Mining
 
09:29
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: 6692 Nevon Projects
Server Log Analysis with Pandas
 
19:44
Taavi Burns Use iPython, matplotlib, and Pandas to slice, dice, and visualise your application's behaviour through its logs.
Views: 3766 Next Day Video
Server Log Analysis with Pandas
 
28:24
Taavi Burns Use iPython, matplotlib, and Pandas to slice, dice, and visualize your application's behaviour through its logs.
Views: 10410 Next Day Video
Mining Your Logs - Gaining Insight Through Visualization
 
01:05:04
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: 25686 GoogleTechTalks
SmarterStats 6.x Web Log Analytics - The Power of Data Mining
 
03:39
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: 1502 SmarterTools Inc.
Web logs: Collecting and analysing - Nikola Krgovic
 
50:45
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
Log File Frequency Analysis with Python
 
01:00:53
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/
Graph Mining for Log Data Presented by David Andrzejewski
 
27:59
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: 2217 Sumo Logic, Inc.
Part12: Web User Identification: Forensic Log Analysis
 
15:02
Get the class materials to follow along at http://OpenSecurityTraining.info/WebIdentity.html Follow us on Twitter for class news @OpenSecTraining. The playlist for this class is here: http://bit.ly/1cQGrDk Actual class title is: "Offensive, Defensive, and Forensic Techniques for Determining Web User Identity" but that's too long for youtube ;) This course by Zak Zebrowski looks at web users from a few different perspectives. First, we look at identifying techniques to determine web user identities from a server perspective. Second, we will look at obfuscating techniques from a user whom seeks to be anonymous. Finally, we look at forensic techniques, which, when given a hard drive or similar media, we identify users who accessed that server.
Views: 1338 Open SecurityTraining
Web usage mining framework for mining evolving user profile in dynamic website
 
10:49
www.onlinefreeprojects.com [email protected] Chennai 08680834555/08681834555
Views: 527 OnlineFree Projects
Web Log Analysis on Spark
 
06:44
This video will familiarize you with the fundamentals of processing unstructured data of log files on the Spark processing platform. Diyotta supports a multitude of data sources such as structured, semi-structured or unstructured. Diyotta has the ability to easily extract, transform and load data into target platforms optimally to gain complete visibility. One of the prevailing industry scenarios in the modern data landscape is that a massive amount of data resides in Data Lakes. Organizations need to perform some data alterations to further take it for analysis and visualizations. In this demonstration, we will review an example of unstructured data of the Server Log file in Hadoop and process it through Spark to produce useful insights and load the data into a Cassandra data object.
Views: 451 Diyotta
Hadoop Tutorial: Analyzing Server Logs
 
06:20
This video explores how to use Hadoop and the Hortonworks Data Platform to analyze server log data and respond quickly to an enterprise security breach. Server logs are computer-generated logs that capture data on the operations of a network. Useful for managing network operations, especially for security and regulatory compliance. Organizations use server logs to answer questions about security and compliance.
Views: 39750 Hortonworks
Mining your log files made simple with the ELK Stack
 
01:17:13
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.
295 - Analyzing Your Web Server Logs
 
01:00:50
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.
Ingmar Weber - Mining Web Query Logs to Analyze Political Issues
 
10:47
NetSci & WebSci Conference. June 23rd, 2012.
Views: 49 SonicNU
Log File Analysis: Python Log Parsing
 
06:45
In this video we will see python searches in a very simple way. Python is a great utility to do this type of work since you can make many queries or searches in a short time. ---------------------------------------------------------------------------------------- Remember, if you want more information or have questions, suggestions, leave a comment below, or visit our site and social networks. ☑️ InfoSecAddicts Website: https://infosecaddicts.com/ ☑️ 🌐 SOCIAL NETWORKS 🌐 Facebook: https://www.facebook.com/InfoSecAddicts/ 📡 Twitter: https://twitter.com/InfoSecAddicts?s=17 Give us a 👍 🎥 Thanks for watching, and I hope you enjoyed the video. 🎥 🙂
Views: 1407 InfoSecAddicts
Analyzing Log Data with Spark and Looker
 
01:04:43
Machines are constantly generating data. Unlocking the value of log files has historically lived in the realm of batch processing. However, emerging technologies have dramatically reduced the latency of event pipelines and have improved interactive analysis and querying. In this webinar, Scott Hoover, Looker Data Scientist, and Daniel Mintz, Chief Data Evangelist at Looker, discuss the specifics of setting up a modern pipeline that collects, processes, and analyzes high-volume, machine-generated data. Topics covered include: - Popular collection mechanisms - Hands-on log-parsing example in Spark - How to utilize Looker to glean insights from event data
Views: 1475 Looker
BIM Log Mining, School of Building Construction at Georgia Tech
 
02:01
Learn how #BIM log mining is used to measure the design process as it happens. Baabak Ashuri, Associate Professor Georgia Tech School of Building Construction https://bc.gatech.edu
How to use Web Log Storming for advanced web analytics
 
06:01
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: 1877 Dataland Software
Automatic Recommendation for Online Users Using Web Usage Mining | ieee data mining projects
 
06:55
Automatic Recommendation for Online Users Using Web Usage Mining 2012 ieee data mining project in java (mtech,btech,mca). Read more http://ieee-projects10.com/automatic-recommendation-for-online-users-using-web-usage-mining/
Views: 2525 satya narayana
Web Usage Mining  A Survey on Pattern Extraction from Web Logs
 
08:28
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: 795 Chennai Sunday
Website / Web Log Analysis - Web Traffic Stats & Page Tracking - Week #26
 
08:27
http://www.26weekplan.com Website / Web Log Analysis - Web Traffic Stats & Page Tracking is Week #26 of the 26-Week Internet Marketing Plan
Views: 1354 David Bain TV
Final Year Projects 2015 | Automated web usage data mining and recommendation system
 
08:26
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: 3450 Clickmyproject
Demo: Capture and Store S3 Static Website Access Logs
 
02:08
Demo: Capture and Store S3 Static Website Access Logs for data mining end user metadata like IP, Browser Agent, ARN, HTTP Response Code etc
Views: 2485 Valaxy Technologies
Web server log analysis on huge dataset using partitioning approach
 
01:55
For Project Assistance: MBLAZAN R & D Centre Madagadipet, Puducherry - 605 018. Contact: (0)9047970047; (0)9543699666 Email id: [email protected] BlogSpot : http://mblazanrdc.blogspot.in/
Views: 35 Rajakumar R
Let's have a look at WebLog Expert
 
01:59
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: 1016 Matthew Finchly
Basic Splunk for Log Analysis
 
04:58
Splunk is one of my favorite tools for doing quick log analysis. Here I demonstrate just a couple of basic searches to show how it's used. http:--www.infoseccertified.com-
Views: 51215 Infosec Certified
A quick look at WebLog Expert Lite
 
01:03
WebLog Expert Lite is a free Apache and IIS log analyzer. WebLog Expert Lite2 is developed by Alentum Software, Inc.. Read the full review of WebLog Expert Lite at http://weblog-expert-lite.software.informer.com
Views: 607 Matthew Finchly
An Introduction to SmarterStats 6.x Web Log Analytics
 
02:02
See how SmarterStats 6.x helps users of all types, from the CEO to the Web designer, learn important and actionable information about their websites and marketing efforts. Learn more about SmarterStats 6.x Web Log Analytics at: http://www.smartertools.com/smarterstats
Views: 2707 SmarterTools Inc.
Day 5: Web Attacks and Logs
 
58:18
Details at: http://asecuritysite.com/ns/day5
Views: 127 Bill Buchanan OBE
Chris Tite - Mining your log files made simple @ DevConf Johannesburg 2018
 
47:27
Recorded at https://www.DevConf.co.za on March 27 2018 in Johannesburg South Africa. About the talk 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 me 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. We’ll cover 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. Once we’re processing logs, we’ll look at ways to transform and embellish our log data to add IT operational, as well as business value. Using our transformed data, we’ll also cover visualising the data using Kibana. To close out we’ll also consider 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 me to see how easy it is to get started. About the speaker Chris is a software architect with 20+ years’ experience, committed to evolutionary and constant learning, often tinkering with new tools, technologies, techniques and architectures. He is passionate about quality software and great architecture, while forging the growth of this generation of software developers. Chris enjoys sharing his learnings, often accompanied by good beer. Chris can be found either overseeing the architecture at Kaleidocode, mentoring on the Kaleidocode apprenticeship program, or working hands on with his team. ----------------------- Follow Christ on Twitter: https://www.twitter.com/Tite_Chris ----------------------- These videos are made possible by sponsorship from Obsidian: https://obsidian.co.za/
Views: 63 DevConf
Final Year Projects 2015 | Automated web usage data mining and recommendation system
 
08:26
Including Packages ======================= * Base Paper * 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: 558 Clickmyproject
OtrosLogViewer - Drag and drop logs from web page (http/https filesystem)
 
00:36
Demonstration how to import log from http/https using drag and drop.
Views: 2261 Otros Systems
Log Visualization
 
08:39
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: 2343 P2Mchannel
How to use WebLog Expert
 
00:50
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: 1970 Matthew Finchly