Entries by Discovered Intelligence

Predict Spam Using Machine Learning Classification

­­In this blog we will use a classification approach for predicting Spam messages. A classification approach categorizes your observations/events in discrete groups which explain the relationship between explanatory and dependent variables which are your field(s) to predict. Some examples of where you can apply classification in business projects are: categorizing claims to identify fraudulent behaviour,  […]

Discovered Intelligence Wins IoT Hackathon

Paul and Dhiren from the Discovered Intelligence team won the first annual IoT Hackathon at the Splunk Partner Technical Symposium in New Orleans last week. The IoT hackathon called for the creation of a fleet management system, using open data sources from the Ford GoBike Bay area bike share program. Using this data set and […]

Diving into Splunk Table Datasets

Splunk’s Table Datasets feature was first introduced in version 6.5. It added the ability to manipulate data in a tabular form for users who are unfamiliar with Splunk Search Processing Language (SPL). Users can generate reports, tables and pivot models to extract operational knowledge from their data.

Splunk Enterprise 6.6 New Features – Part III

We continue to explore the new features of Splunk 6.6. In part I and part II we talked about the new Knowledge Object management feature and the Search Editor enhancements. In this post, we will discuss the introduction of the new Search Head Cluster (SHC) graphical user interface and Indexer Clustering improvements in Splunk 6.6.