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Category Archives: Data Mining
What is Data Mining?
My old college professor, Dr. Stephan Kudyba, explains what Data Mining is for newbies. His data mining class is the reason why I started Neural Market Trends.
Posted in Data Mining, Video
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Data Mining Social Networks
All the stuff you post about yourself and what you like in Facebook or some other social network is a marketer’s wet dream. Data mining companies are now capitalizing on the free information you post about yourself, mining it, and … Continue reading
Posted in Data Mining
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Using ClassifierXL to Find the Right Stock to Buy
Granted, this example was a fast way of doing a complex data analysis but the ClassifierXL module helped simplify the process. The neat thing about this module is that it does all the heavy lifting for you and organizes the data in an easy to use spreadsheet! Continue reading
Posted in Data Mining, Members, Neural Nets, Products, Stocks, Tutorials
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Welcome Back
Before I go back to updating my models I want to share with you a piece of exciting news, the developers of Stock Neuromaster have fixed the signal “flip flop†issue in version 1.33! Continue reading
Posted in Data Mining, Stocks
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A Top Down and Bottoms Up Approach to Neural Net Models
I was inspired to write this post after I read Foquant’s (formerly CPP Trader) post on Inductive versus Deductive Algorithms. He hits the nail on the head when he ends his article with: Personally, I have used deductive reasoning to … Continue reading
New RapidMiner Tutorials Coming
Yes you read that right, I’m working on a new set of RapidMiner tutorial posts (I’m bagging the videos for now). I hope to share with my readers two new tutorials over the coming weeks/months and I expect to post … Continue reading
Posted in Data Mining, Genetic Algorithms, Tutorials
Tagged Genetic Algorithms, Neural Nets, RapidMiner, Tutorials
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Trimming Outliers In Rapidminer
I was inspired to write a short post about trimming outliers in RapidMiner after a comment from dc yesterday. Although I’ve never used these particular set of data pre-processing operators (I always inspect my data visually), I find them to … Continue reading
Modeling Robust Data
I mentioned in my supervised learning post that your data model will only be as good as your training data. Too often, and I’ve been guilty of this as well, data modelers throw all kinds of inputs variables together into … Continue reading
Posted in Data Mining, Neural Nets, Tutorials
8 Comments
S&P500 Volatility Perspective
I created a chart of the S&P500 daily % changes, squared them, and put them into an Excel chart. An interesting perspective was charted relative to the daily volatility and its spikes over the past 14 years. Most notable is … Continue reading
Posted in 401K, Data Mining, Excel
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Using Cross Validation in YALE
Another important building block of any neural net model is the creation of training and validation data sets for your model. The data you feed your neural net model is typically called “training data” and you use it to train … Continue reading
Posted in Data Mining, Neural Nets, Tutorials
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Finding Relationships in IM
A great blog that I read, and have recently added to my blog roll, is Data Mining: Text Mining, Visualization, and Social Media written by Matthew Hurst. Recently Matthew posted an interesting heatmap (below) that shows relationships of IM across … Continue reading
Posted in Data Mining
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RapidMiner 4.0Beta vs YALE 3.4
A few months ago YALE introduced its new version called RapidMiner 4.0beta. YALE is now called RapidMiner and for what it’s worth, I think its a better name. I performed the upgrade and shortly thereafter I noticed that several of … Continue reading
Posted in Data Mining, Neural Nets, Random
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