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Recent Posts
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- Encoding High Cardinality Categorical Variables with Feature Hashing on Spark
Top Posts
- Combating High Cardinality Features in Supervised Machine Learning
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- Customer Conversion Prediction with Markov Chain Classifier
- Removing Duplicates from Order Data Using Spark
- Handling Categorical Feature Variables in Machine Learning using Spark
- Pluggable Rule Driven Data Validation with Spark
- Customer Churn Prediction with SVM using Scikit-Learn
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Category Archives: Outlier Detection
Time Series Sequence Anomaly Detection with Markov Chain on Spark
There are many techniques for time series anomaly detection. In this post, the focus is on sequence based anomaly detection of time series data with Markov Chain. The technique will be elucidated with a use case involving data from a … Continue reading
Learning Alarm Threshold from User Feedback using Decision Tree on Spark
Alarm fatigue is a phenomena where some one is exposed to large number of alarms, become desensitized to them and start ignoring them. It’s been reported that security professionals ignore 32% of alarms because they are thought to be false. … Continue reading
Posted in Anomaly Detection, Big Data, Data Science, Outlier Detection, Spark
Tagged alarm fatigue, alarm flooding, decision tree, false alarm, monitring system
1 Comment
Data Quality Control With Outlier Detection
For many Big Data projects, it has been reported that significant part of the time, sometimes up to 70-80% of time, is spent in data cleaning and preparation. Typically, in most ETL tools, you define constraints and rules statically for … Continue reading
Posted in Big Data, Data Science, ETL, Hadoop and Map Reduce, Internet of Things, Outlier Detection, Statistics
Tagged data quality, ETL, IoT, outlier detection, supply chain
1 Comment
Real Time Detection of Outliers in Sensor Data using Spark Streaming
As far as analytic of sensor generated data is concerned, in Internet of Things (IoT) and in a connected everything world, it’s mostly about real time analytic of time series data. In this post, I will be addressing an use … Continue reading
Posted in Big Data, Data Science, Internet of Things, Outlier Detection, Real Time Processing, Spark, Time Series Analytic
Tagged IoT, sensor data, Spark Streaming
2 Comments