ProcessMiner™ Manufacturing Industry Case Studies

ProcessMiner™ Director of Science, Chitta Ranjan, shares his extensive research on data in the manufacturing industry.

LSTM Autoencoder for Extreme Rare Event Classification in Keras

LSTM Autoencoder for Extreme Rare Event Classification in Keras

Here we will learn the details of data preparation for LSTM models, and build an LSTM Autoencoder for rare-event classification. This post is a continuation of my previous post-Extreme Rare Event Classification using Autoencoders. In the previous post, we talked about the challenges in an extremely rare event data with less than 1% positively labeled data.

Estimating Non-Linear Correlation in R

Estimating Non-Linear Correlation in R

Correlation estimations are commonly used in various data mining applications. In my experience, nonlinear correlations are quite common in various processes. Due to this, nonlinear models, such as SVM, are employed for regression, classification, etc.

Sequence Embedding for Clustering and Classification

Sequence Embedding for Clustering and Classification

Here we will learn an approach to get vector embeddings for string sequences. These embeddings can be used for Clustering and Classification. Sequence modeling has been a challenge. This is because of the inherent un-structuredness of sequence data. Just like texts in Natural Language Processing (NLP), sequences are arbitrary strings.

Contact Our Data Science Team

Fill out the form below and we’ll get back to you, or contact us by phone to speak to a miner today.

Have a project in mind?

For more information, download our brochure. We’ll reach out to you!

8 + 9 =

U.S. Headquarters

75 Fifth Street NW
Suite 2505
Atlanta, GA 30308
+1 (678) 463-5799
info@processminer.com

International

INDIA

FINLAND
Oy ProcessMiner Ab
Otakaari 5
02150 Espoo
+358 400 450 748
jvanska@processminer.com