Tutorial 1 - Machine Learning Meets Big Spatial Data
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0:00:00 Machine Learning Meets Big Spatial Data
0:02:55 The Rise of Machine Learning
0:04:05 The Ubiquity of Big Spatial Data
0:04:50 Machine Learning meets Big Spatial Data
0:07:10 Knowledge Base Construction
0:08:07 Probabilistic Knowledge Base Construction
0:09:40 DeepDive: ML-based Knowledge-Based Construction
0:10:28 DeepDive with Spatial Data
0:17:16 Routing..
0:21:23 GADGET HACKS
0:22:22 Spatial Regression
0:22:40 Spatial (Autologistic) Regression
0:26:05 Detailed Techniques
0:27:14 Spatial Algorithms for Non-Spatial Applications
0:27:40 DeepDive with Spatial Data
0:28:35 From DeepDive to Sya: A Spatially-Aware Knowledge-Based Construction System
0:30:02 Knowledge-Base Construction with Sya
0:30:36 Spatially-Aware ML-based Image Analysis
0:32:48 Spatially-Aware ML-based Event Detection
0:34:17 Spatially-Aware ML-based Recommender System
0:36:17 Conclusion
0:38:21 Routing..
0:38:51 ML for Map Making (Topology)
0:41:50 ML for Map Making (Metadata)
0:46:48 ML for Routing
0:49:11 Traffic Monitoring & Prediction
0:49:57 ML for Traffic Prediction: Residual Networks
0:51:18 ML for Traffic Prediction: DCRNN
0:53:01 ML for Traffic Prediction: LCRNN
0:54:04 ML for Traffic Prediction: Reinforcement Learning
0:55:28 ML for Outdoor Localization
0:56:32 ML for Air Quality Forecasting
0:57:23 ML for Geospatial Object Detection
0:58:48 Conclusion
0:59:56 Spatial (Autologistic) Regression
1:00:55 Markov Logic Networks (MLN)
1:02:22 From MLN to Spatial MLN
1:03:10 Spatial Regression
1:05:28 Bayesian Modeling
1:06:36 Quadtree based Bayesian Modeling
1:07:49 Spatial Classification
1:08:39 Scalable ML-based Spatial Classification
1:10:04 Ensemble Learning Spatial Classification
1:11:00 Spatial Sampling
1:11:53 ML-based Incremental Spatial Sampling
1:12:37 Deep Learning-based Spatial Sampling
1:13:26 Conclusion
1:14:13 End-to-End Systems
1:14:22 Spark-based Spatial ML Systems
1:15:22 PyCAL: Python Spatial Analysis Library
1:16:07 Flash: Scalable Spatial Data Analysis Using Markov Logic Networks
1:16:41 GeoDA: An Introduction to Spatial Data Analysis
1:17:20 ESRI ArcGIS GeoAI & GeoAnalytics
1:17:56 IBM PAIRS GeoScope
1:18:27 Machine Learning meets Big Spatial Data
1:19:07 Thank you
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