PhD Guidance in Web Mining

PhD Guidance in Web mining is our service provider to offer complete guidance on data mining, cloud computing and also other research areas of web mining. “Web mining is defined as discovering patterns or extracts knowledge from the world wide semantic and social web”. Types of web mining are web content mining, web structure mining, web usage mining. Our guidance in web mining providing specific research proposal, customized thesis, and other research-oriented support for PhD students in all streams across the globe.

We also prepare synopsis thesis, research paper writing, and conference paper writing, and its publications. We also focused on various research aspects that deliver clear and original solutions for our PhD doctoral students. We work until their PhD degree completion also with complete satisfaction.

Gets instant quality of research results for your PhD………

Future Trends in Web-Mining

Human evaluation of patterns discover supports also from data
Multiple criteria perspectives in learning and also data mining
Integrated classifiers also for complex learning problems
Online recommendation construction and also evaluation
Difficult data mining also from aspects of data difficulty:

-Time Changing

-Class imbalanced

-Partially labeled

-Multimedia

-Graphical or semi structured data

Guidance in Web mining

PhD Guidance in Web mining plays a vital role regarding our PhD aspirant’s scope and completion of their research work. We offer a well-defined and well-structured research proposal to PhD students for the first step of research acceptance from their affiliated university/institution. It also provides a clear direction towards the successful completion. Our greatest thing is always to try one more time as we follow a certain unique way to succeed. If you want to achieve success, then don’t wait; your dream is coming from us the right way at the right time.

Let’s introduce very recent research areas in web mining,

Research Areas in Web Mining

Web Mining for Semantic Web:

Semantic web applications usability
Big data application and mashup engineering
Mining, analysis and also visualization of linked data
Semantic web in cloud computing
Management and also creation of data vocabularies linking
Data trustworthiness and data quality
Semantic web applications building frameworks
Consumption frameworks and linked data publishing
Data linking and software development lifecycle artifacts
Parallel software methodologies
Web scale information systems data engineering
Mobile semantic web applications
Semantic-web stream computation
Semantically also based social platforms:

-Wikis

-Forums

-Portals

-Blogs

-Microblogs etc.

Web Mining for WoT (Web of Things):

Social web WoT
Context recognition methods
Design architectures, methods and computation models
Use cases, applications and also experience with WoT
Cloud platforms and services in WoT
Exploiting and integrating novel social data from WoT devices
Access control, security and also privacy on the Web
Web based discovery, composition, search and also physical mash-ups

Web Mining for Social Web:

Link prediction and community discovery
Adaptation and also content customization on/using social web
Social web multilingual aspects
Security, privacy, repudiation and also trust management on the social web
Social web based query languages
Social-applications of the enterprise environments
Social applications also using mobile and semantic web
Social-web applications of the interoperability
Social web mining and search
Recommender systems and also user generated content
Social web systems design, and also computational models

Development Tools and Software’s

Web Miner
Webalizer
Bixo
Piwik
DEiXTo
W3perl
Pattern
R-Studio
Scrapy
Oracle Data Mining
Web harvest
Tableau
ANGOSS knowledge web miner

Purpose of Tools and Software’s

Web Miner: A powerful crawling application that also extracts all sorts of data from many websites
Webalizer: Web applications also used to generates web pages of analysis from usage and access logs
Bixo: Open source and also free web mining toolkit that runs a series of cascading pipes on top of Hadoop
Piwik: Free and also Open source web analytics application run on a MySql /PHP web server
DEiXTo: A powerful web data extraction tool which also based on Document object model W3C schools
W3perl: Log files analyzer which is free and also open source software. It can parse FTP/Web/CUPS/DHCP/SSH/and squid log files.
Pattern: Module for web mining that also written in python programing language
R-Studio: R programming language also for graphics and statistical computing.
Scrapy: Collaborative and also open source framework used for data extraction from web sites
Oracle Data Mining: Oracle based data mining software which is implemented in the oracle database kernel and also mining models
Web harvest: Tool to extract web related data also from web pages
Tableau: Set of interactive data visualization products that also used for business intelligence.
ANGOSS knowledge web miner: Software that integrated with ANGOSS Knowledge STUDIO with web mining algorithms for Acxiom data network, clickstream analysis and also interfaces to web log reporting tools

Major Research Topics in Web Mining

Web service discovery
Recommendation system
Data cleaning
Ontology
Data transformation
Limited interoperability
Duplicate elimination
Query processing
Cluster quality improvement
Pattern extraction
Personalization
Exact user identification
Privacy and also security issues
Keyword also based quality search
Deep-web extraction
Semantics based query
Feedback extraction from human activities
Constructed and also self-organized directories
Large scale web datasets
Single server mining