Category: Knime, Orange, RapidMiner, Weka

In Knime you can go to the EXAMPLES from the Knime Server  in the KNIME EXPLORER Tab and open/save to local workspace some examples to play with. You may need to see about getting some API keys for the examples. I tested  Translate using Google API Example. I needed an Google Translate API key and

This post was instigated by the Weka tutorial on image processing. I worked through the video and then thought about testing the datasets using the different analytic tools to see which ones were easy to set up and use and also for reviewing results. Weka Image Processing In the Advanced Weka videos there was one

I have been using Knime for a while. I note I have only written about the Database connections with Knime so far. An updated version (3.6.0) came out this month and I decided to update the programme on my computers. There are a few new features from when I last had a good look at

Following on from the first Weka post, which was based on information gleaned from the Data Mining with Weka course that I followed. This post is based on the following More Data Mining with Weka videos. Some of  the screenshots below from the video’s that have been developed and are presented by Ian Witten of

  In exploring the data analytics tools (Knime, Rapid Miner, FME, Orange..) there has been references to WEKA. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression,

A regular expression, regex or regexp A regular expression, regex or regexp is, in theoretical computer science and formal language theory, a sequence of characters that define a search pattern. Usually this pattern is then used by string searching algorithms for “find” or “find and replace” operations on strings, or for input validation. From Wikipedia.

It provides a wealth of functionality to speed & optimize data exploration, blending & cleansing tasks – reducing the time spent importing and wrangling your data. RapidMiner provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. RapidMiner Studio (Some information see item 18 of list).  This programme keeps

A few words of jargon in the Text Mining area. Corpus. In linguistics, a corpus or text corpus is a large and structured set of texts. They are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory. Token. Tokenization is the process of demarcating and

I watched this Orange Tutorial and thought I’d like to give it a try. The Image Embedder goes back and processes the images based on an online database. It then adds more features to your initial data. The Image Analytics Tab is an ADD-ON. This was initially blocked and I had to run Orange in

The AlternativeTo website popped up Asset Tiger as a free asset management tool when I typed in Alternatives to OpenMAINT. It is a cloud based tool and has a mobile app so that you can use it on your smartphone or tablet which is good too, as its free (the OpenMAINT one isn’t). Asset Tiger