Search Results for author:
Found 5 papers, 2 papers with code
Event-centric Query Suggestion for Online News
Query suggestion refers to the task of suggesting relevant and related queries to a search engine user to help in query formulation process and to expedite information retrieval with minimum amount of effort.
Time Series Clustering for Human Behavior Pattern Mining
Human behavior modeling deals with learning and understanding behavior patterns inherent in humans' daily routines.
AutoAI-TS: AutoAI for Time Series Forecasting
We present AutoAI for Time Series Forecasting (AutoAI-TS) that provides users with a zero configuration (zero-conf ) system to efficiently train, optimize and choose best forecasting model among various classes of models for the given dataset.
A Transformer-based Framework for Multivariate Time Series Representation Learning
In this work we propose for the first time a transformer-based framework for unsupervised representation learning of multivariate time series.
Ranked #2 on
Time Series Classification
on Insectwingbeat
Spatial Co-location Pattern Mining - A new perspective using Graph Database
Spatial co-location pattern mining refers to the task of discovering the group of objects or events that co-occur at many places.
Databases Distributed, Parallel, and Cluster Computing
