Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

We live in a world were data are generated from a myriad of sources, and it is really cheap to collect and storage such data. However, the real benefit is not related to the data itself, but with the algorithms that are capable of processing such data in a tolerable elapse time, and to extract valuable knowledge from it. Therefore, the use of Big Data Analytics tools provide very significant ad...

Tutorial: Big Data Analytics: Concepts, Technologies, and Applications

Process Knowledge Extraction

This project presents two novel techniques to improve existing semantic role representations to enable better understanding of the language. Firstly, We have tried to retrofit word vectors generated from LSTM model with scientific processes corpus to generate better word embeddings. Second technique uses a semi-supervised model which learns word embeddings using role as context. On testing, We ...

From Data Mining and Knowledge Discovery to Big Data Analytics and Knowledge Extraction for Applications in Science

“Data mining” for “knowledge discovery in databases” and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called “big data”. The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email...