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Information Measurement with SQL Server, Part 2.5: Mutual, Lautum and Shared Information

By Steve Bolton

…………The sample T-SQL I posted in the last article wasn’t as difficult as it looked, considering that it merely implemented the same code on the same data we used in Information Measurement with SQL Server, Part 2.1: The Uses and Abuses of Shannon’s Entropy, except… Read more

0 comments, 727 reads

Posted in Multidimensional Mayhem on 25 January 2018

Information Measurement with SQL Server, Part 2.4: Conditional and Joint Entropy

By Steve Bolton

…………Since this series on using SQL Server to implement the whole gamut of information metrics is wide-ranging in nature, it will also be somewhat disorganized by necessity; this is doubly true, given that I’m writing it in order to learn the material faster, not because I’m… Read more

0 comments, 212 reads

Posted in Multidimensional Mayhem on 30 November 2017

Information Measurement with SQL Server, Part 2.3: Thermodynamic and Quantum Entropies

By Steve Bolton

…………When I was about 12 years old, I suddenly discovered football. Many lessons still awaited far in the future – such as the risks of being a Buffalo Bills fan, the explosive sound footballs make when they hit a Saguaro cactus, or the solid reasons for… Read more

0 comments, 1,057 reads

Posted in Multidimensional Mayhem on 31 October 2017

Information Measurement with SQL Server, Part 2.2: The Rényi Entropy and Its Kin

By Steve Bolton

…………I kicked off this far-ranging series on using SQL Server to quantify information by discussing two of the earliest and most important measures, the Hartley function and Shannon’s Entropy. These foundations of information theory are intimately related to a more general measure, Rényi Entropy, which is… Read more

0 comments, 152 reads

Posted in Multidimensional Mayhem on 22 September 2017

Information Measurement with SQL Server, Part 2.1: The Uses and Abuses of Shannon’s Entropy

By Steve Bolton

…………In the first installment of this wide-ranging series of amateur tutorials, I noted that the Hartley function indeed returns “information,” but of a specific kind that could be described as “newsworthiness.” This week’s measure also quantifies how much we add to our existing knowledge from each… Read more

0 comments, 520 reads

Posted in Multidimensional Mayhem on 31 August 2017

Information Measurement with SQL Server, Part 1: A Quick Review of the Hartley Function

By Steve Bolton

…………This long-delayed series of amateur self-tutorials has been in the works ever since I began writing my A Rickety Stairway to SQL Server Data Mining series, which made it clear to me that I didn’t know enough about what was going on under the hood in… Read more

0 comments, 251 reads

Posted in Multidimensional Mayhem on 28 July 2017

Implementing Fuzzy Sets in SQL Server, Part 11: Fuzzy Addenda

By Steve Bolton

…………One of the key reasons I looked into the topic of fuzzy sets in the first place was my suspicion that T-SQL, as a set-based language, would be ideal for modeling them. That turned out to be an understatement of sorts: I definitely was not prepared… Read more

0 comments, 330 reads

Posted in Multidimensional Mayhem on 30 June 2017

Implementing Fuzzy Sets in SQL Server, Part 10.2: Measuring Uncertainty in Evidence Theory

By Steve Bolton                                                                                                                      

…………To avoid overloading readers with too many concepts at once, I split my discussion of Dempster-Shafer Evidence Theory into two parts, with the bulk of the data modeling aspects and theory occurring in the last article. This time around, I’ll cover how fuzzy measures can be… Read more

0 comments, 398 reads

Posted in Multidimensional Mayhem on 31 May 2017

Implementing Fuzzy Sets in SQL Server, Part 10.1: A Crude Introduction to Dempster-Shafer Evidence Theory

By Steve Bolton

…………Early on in this series, we learned how the imprecision in natural language statements like “the weather is hot” can be modeled using fuzzy sets. Ordinarily, the membership grades assigned to fuzzy sets are not to be interpreted as probabilities, even though they’re both implemented on… Read more

1 comments, 442 reads

Posted in Multidimensional Mayhem on 12 April 2017

Implementing Fuzzy Sets in SQL Server, Part 9: Measuring Nonspecificity with the Hartley Function

By Steve Bolton

…………Imagine how empowering it would be to quantify what you don’t know. Even an inaccurate measure might be helpful in making better decisions in any area of life, but particularly in the business world, where change is the only certainty. This is where a program of… Read more

0 comments, 291 reads

Posted in Multidimensional Mayhem on 8 March 2017

Implementing Fuzzy Sets in SQL Server, Part 8: Possibility Theory and Alpha Cuts

By Steve Bolton

…………To get the point across that fuzzy sets require membership grades of some sort, throughout this series I’ve borrowed the stored procedure I coded for Outlier Detection with SQL Server, part 2.1: Z-Scores and rescaled the results on the customary range of 0 to 1. The… Read more

1 comments, 713 reads

Posted in Multidimensional Mayhem on 13 February 2017

Implementing Fuzzy Sets in SQL Server, Part 7: The Significance of Fuzzy Stats

By Steve Bolton

…………In the world of fuzzy sets and imprecision modeling, the concept of cardinality takes on new shades of meaning that are not applicable to ordinary “crisp” sets, i.e. those without membership grades. In the last article in this series of amateur-self-tutorials, I mentioned one type of… Read more

0 comments, 331 reads

Posted in Multidimensional Mayhem on 20 January 2017

Implementing Fuzzy Sets in SQL Server, Part 6: Fuzzy Numbers and Linguistic Modifiers

By Steve Bolton

…………I’ve written several amateur tutorial series on this blog in order to more quickly absorb difficult data mining, statistical and machine learning topics, while hopefully helping other SQL Server users avoid some of my inevitable mistakes. Since I don’t know what I’m talking about, I’m occasionally… Read more

0 comments, 1,851 reads

Posted in Multidimensional Mayhem on 20 December 2016

Implementing Fuzzy Sets in SQL Server, Part 5: The Mystery of the Missing Left Join

By Steve Bolton

…………Information on set operations like complements, intersections and unions is plentiful in the literature on fuzzy sets, which made the last three articles in this series of amateur self-tutorials easier to write in a certain sense. These topics are far more complex than with ordinary “crisp”… Read more

0 comments, 570 reads

Posted in Multidimensional Mayhem on 7 November 2016

Implementing Fuzzy Sets in SQL Server, Part 4: From Fuzzy Unions to Fuzzy Logic

By Steve Bolton

…………Fuzzy set relations carry an added layer of complexity not seen in ordinary “crisp” sets, due to the need to derive new grades for membership in the resultset from the scores in the original sets. As I explained two weeks ago in this series of amateur… Read more

0 comments, 431 reads

Posted in Multidimensional Mayhem on 10 October 2016

Implementing Fuzzy Sets in SQL Server, Part 3: Using Fuzzy Intersections as AND Statements

By Steve Bolton

…………Whenever we assign set membership grades to records on a continuous scale, we open up a whole new world of possibilities for measuring uncertainty and modeling different types of imprecision. Two articles ago in this series of amateur self-tutorials, we saw how a whole taxonomy of… Read more

0 comments, 389 reads

Posted in Multidimensional Mayhem on 6 September 2016

Implementing Fuzzy Sets in SQL Server, Part 2: Measuring Imprecision with Fuzzy Complements

By Steve Bolton

…………Taking the dive into fuzzy sets immediately elicits the obvious question: just how fuzzy is the data we’re operating on? As discussed in the first two installment of this amateur series of self-tutorials, the raison d’etre of fuzzy set theory is to model imprecise data that… Read more

0 comments, 633 reads

Posted in Multidimensional Mayhem on 2 August 2016

Implementing Fuzzy Sets in SQL Server, Part 1: Membership Functions and the Fuzzy Taxonomy

By Steve Bolton

…………In the first installment of this amateur self-tutorial series on applying fuzzy set theory to SQL Server databases, I discussed how neatly it dovetails with Behavior-Driven Development (BDD) principles and user stories. This is another compelling reason to take notice of fuzzy sets, beyond the advantages… Read more

0 comments, 989 reads

Posted in Multidimensional Mayhem on 6 July 2016

Implementing Fuzzy Sets in SQL Server, Part 0: The Buzz About Fuzz

By Steve Bolton

…………I originally planned to post a long-delayed series titled Information Measurement with SQL Server next, in which I’d like to cover scores of different metrics for quantifying the data our databases hold –  such as how random, chaotic or ordered it might be, or how much… Read more

0 comments, 2,213 reads

Posted in Multidimensional Mayhem on 13 June 2016

Goodness-of-Fit Testing with SQL Server Part 7.4: The Cramér–von Mises Criterion

By Steve Bolton

…………This last installment of this series of amateur tutorials features a goodness-of-fit metric that is closely related to the Anderson-Darling Test discussed in the last post, with one important caveat: I couldn’t find any published examples to verify my code against. Given that the code… Read more

0 comments, 657 reads

Posted in Multidimensional Mayhem on 31 May 2016

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