The 7th annual WTLab Workshop

The 7th annual WTLab Workshop

The 7th annual workshop of WTlab of Ferdowsi, University of Mashhad, simultaneous with 6th International Conference on Computer and Knowledge Engineering (ICCKE 2016) will be held on October 22nd and 24th.

Attention: The workshop will be held at the decided time Virtually. Also, certification of attendance is given to the audience by the university, thus, please be prices about address when you are registering.



Process Mining and its usage


Abstract

Process mining is the new field of study that has gained much attention in recent years. This field is a mixture of business intelligence and data mining on one hand, and modeling and process analysis on the other hand. The purpose of process mining is to discover, monitor and improve real processes through extracting knowledge from the readable data stored in information systems. Process mining is used in industries and other organizations such as banks, insurances, hospitals, municipalities, universities, etc. in this workshop an introduction to process mining and its types and techniques will be presented. We discuss similarity detection and use cases of process mining and introduce its tools in an operational manner.


Headlines

Introduction to process mining
Types of Process mining models
Process mining challenges
Process similarity detection methods
Process mining applications
Understanding the process mining tools
Presentation of an applied example for process mining


Research Area


Providers


Present Type

Virtual


Holding Time

Date: October 22nd
Time: 8AM


Duration

4 hours


Files

link

Social Network Analysis


Abstract

Nowadays, many people use the features of different social media as one of the most popular tools of communication to contact each other, share news and their interests. A huge volume of data of users’ interactions with each other and their behavior has encouraged many researchers to discover knowledge. This information can be categorized into three categories: textual information, link information, and time information. Since most of the data created by users are text, textual data plays an important role in knowledge discovery from social networks. The purpose of this workshop is to introduce the social network and explain how to use different kinds of information within it to solve real problems.


Headlines

Social networks in user applications
The challenges of processing social networks' data and their solutions
Text mining in social networks
Social network and graph processing
The temporal aspects of social networks
Social network analysis tools
Working with the Pajek tool and implementing a program



Providers


Present Type

Virtual


Holding Time

Date: October 22nd
Time: 2PM


Duration

4 hours


Files

link

Introduction to Basic Tools and Concepts in Natural Language Processing


Abstract

NLP is one of the important subcategories in AI and Linguistics. The main goal in this field is to mechanize the process of a human understanding a concept. With the technology of computer entering our lives, processing languages and conversations have gained the attention of scientists. The main purpose of NLP is to create computational theories from languages, using algorithms and data structure that are in computer science. To perform many automated processes on languages such as translation, summarization, error correction, etc., we need some tools to preprocess and prepare the corpuses. There are two ways to get these tools. One is language-dependent methods, which are done according to some syntax and structural language rules…


Headlines

Basics of natural language processing
Normalization
Words and sentences detection
Stemming
Labeling lexical components
Semantic terminology labeling parser
Recognizing noun entities
Vocabulary network




Present Type

Virtual


Holding Time

Date: October 23rd
Time: 8AM


Duration

4 hours


Files

link

Question Answering Systems


Abstract

Nowadays, A huge volume of data is stored on the web which cannot be used by users without proper tools. So far, many tools have been created to gain from information on the web. Between these tools, question answering systems have attracted lots of attention. This is because these systems allow their users to express their complicated and optional information needs, simply and directly. Question and answering systems have a rather long history in extracting knowledge from unstructured sources. In recent years QA systems have used a lot of semantic data as a data source and semantic web technologies as methods to increase accuracy. In this session, we review the latest achievements of QA semantic systems.


Headlines

A formal definition of question answering systems
History of QA systems
Classification from the used source point of view
Introduction to tools
Semantic question and answering
Competitions on Question and Answer
Methods of evaluations
A practical example




Present Type

Virtual


Holding Time

Date: October 23rd
Time: 2PM


Duration

4 hours


Files

link

Introduction to Big Data


Abstract

In recent years, big data has become one of the most popular and challenging field of study in IT due to the daily growth of data in the digital world. Big data is the term used to refer to sets of big, massive, varied and with complicated structure data. The process of researching big data to reveal hidden patterns is called big data analysis. This information helps organizations and firms to gain richer and deeper insight and succeed in their competitions. In this workshop, we try to introduce basic concepts of big data and learn how to work with it through multiple simple examples of this framework.


Headlines

What is big data?
Why is big data needed?
How are big data used and implemented?
introductions to the concept of distributed storage
Understanding the concept of distributed processing
introduction to the Hadoop framework
Solving problems in the Hadoop environment


Research Area



Present Type

Virtual


Holding Time

Date: October 24th
Time: 8AM


Duration

4 hours


Files

link

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