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, […]
Author Archive for: urwah
About Urwah Haq
This author has yet to write their bio.Meanwhile lets just say that we are proud Urwah Haq contributed a whooping 10 entries.
Entries by Urwah Haq
In this blog we will begin to show how Splunk and the Machine Learning Toolkit can be used with time series data, which is generally the most common type of data that is kept in Splunk!
In our previous blog we walked through steps on installing Splunk’s Machine Learning Toolkit and showcased some of the analytical capabilities of the app. In this blog we will deep dive into an example dataset and use the ‘Predict Numeric Fields’ assistant to help us answer some questions about it. The sample dataset used is […]
The Splunk Machine Learning Toolkit (MLTK) assists in applying machine learning techniques and methods against your data. This article discusses how to get started with the MLTK including installation and some initial testing and examples.
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.
Homepage for Splunk We are pleased to announce the release of our new app, Homepage for Splunk. This Splunk certified app presents your logged in users with a ‘virtual cockpit’ that provides a single-pane-of-glass view into their specific use of Splunk.
In this post, we will walk through some use cases and data formats to configure the new Trellis Layout Visualization in Splunk 6.6.
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.
In part 1 of our series into the new features of Splunk Enterprise 6.6, we looked at Splunk Knowledge Object management. In part 2, we will explore new features within the enhanced search editor, such as line-numbering, syntax highlighting and macro expansions.
Splunk 6.6 introduces new features in Data Visualization, Indexer and Search Head Clustering, Knowledge Object management and more to enhance user experience. This series of Splunk 6.6 blog postings explores some of these new features in detail.
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