Questions tagged [data-mining]
Using the techniques of artificial intelligence and machine learning to extract patterns from large data sets and transforming those data into a useful, organized form for future processing.
138
questions
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0answers
16 views
Why can we apply standard matrix operations in data matrix but not in record data?
Tan,Steinbech,Kumar book says-:
A data matrix is a variation of record data, but because it consists of numeric attributes,standard matrix operation can be applied to transform and manipulate the ...
1
vote
0answers
12 views
What do we mean by permissible transformations in types of attributes-:nominal,ordinal,interval,ratio? [closed]
I am studying data mining and I stumbled upon types of attributes.
They are
Nominal
Ordinal
Interval
Ratio
Data mining book by Tan,Steinbech,Kumar says
Permissible transformations for-:
nominal-:...
0
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0answers
23 views
Upper bound on $k$-sized frequent subsets
In the market-basket analysis problem, suppose the set of items $I$ has size $10^6$, the number of transactions $T$ is $10^9$, and each transaction $t \in T$ contains at most $10$ distinct items. ...
0
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0answers
34 views
What are the confusion matrix values?
I'm currently going through past paper questions and was wondering if I could get some help answering this one?
'Consider a classification model which is applied to a set of records, of which 100 ...
0
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0answers
14 views
When outputting every timestep of an LSTM, is outputs in timesteps with missing training data also affected by overfitting?
I'm referring to things like the "timedistributed" layer in Keras or how in Pytorch LSTM the output is included in every timestep.
An example illustrating my question, say I'm trying to ...
1
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0answers
11 views
About the paper Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony
I don't understand two parts in this paper:
The min notion on page 4 line 357 (equation 10d): I understand this as to find all the $M_{10}$, $M_{11}$, $M_{01}$ first and then try to minimize the ...
0
votes
0answers
8 views
Which model to apply on such panel data with so may rows but for each unique id rows are 6-8 rows per unique id?
I am new to such panel data where I have multiple observation for same ID in different Quarter and I am not sure what kind of machine learning algorithm I can apply.
I have data from Q1-18 till Q4-...
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0answers
11 views
building a unsupervised learning model to detect suspicious transactions using DBSCAN
I am working for the first time on building a unsupervised learning model to detect suspicious transactions using DBSCAN, Do I train the model on all data columns(Columns like account number, ...
0
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1answer
36 views
How to detect outliers using DBSCAN?
I am working on a Fraudulent Cash Transaction Detection System using DBSCAN and I want to know what is the proper way to identify outliers?
Thank you
##Edite##
I had a problem how to represent the ...
1
vote
1answer
23 views
In a set of sentences, how could I determine the fewest sentences that contains all characters?
So, for the sake of simplicity, I am going to use English characters for this example. Let's say I have a set of strings of characters in English ranked by difficulty: Easy, Intermediate, Advanced.
So ...
0
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0answers
27 views
How to handle distribution of values with same attributes into different classes
I'm a student studying a data mining course and have come across a problem.
I need to explain the problem with the help of an example scenario as I do not know how to explain the problem in any other ...
0
votes
1answer
72 views
PageRank vector
I computed the PageRank vector for the example given in https://en.wikipedia.org/wiki/PageRank (where the picture shows that node B ends up with a score of 38.4, node C with 34.3, node D with 3.9). I ...
2
votes
1answer
37 views
How does an inverted index reduce storage requirements?
In p. 7 of the book "Introduction to Information Retrieval" (by Manning et al), the authors explain how, given a collection of text documents, an inverted index is built by tokenizing, then ...
0
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0answers
21 views
ML - What are the benefits of transforming variables with long tail?
What are the obvious benefits of transforming variables with long tail distributions? To extend it more, why the machine learning algorithms will perform better afer such a transformation?
1
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0answers
43 views
Can anyone think of applications of a 3 way (k-way) dot product in computer science or data mining
I have developed a locality sensitive hashing algorithm for the 3-way or k-way dot product. When I say 3-way dot product I mean the following. Suppose we have
$x,y,z \in [-1,1]^{S}$ for $S \in \...
0
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1answer
162 views
What is a range of an attribute in data mining?
In my data mining course, we are working with a data set. I have to identity the ranges of each attribute. I am given the set of data for all 150 points and i am given the visualization (charts) of ...
2
votes
2answers
106 views
Why is it not always possible to compute the centroid of feature vectors?
Hi in the data mining and machine learning course that I'm taking there is a subject on feature spaces and there is this part about feature vector aggregation and metric spaces that I don't really ...
1
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1answer
511 views
Why does the BFR (Bradley, Fayyad and Reina) algorithm assume clusters to be normally distributed around its centroid?
I'm following a course on data mining based on the lectures from Stanford University and the book Mining of massive datasets.
On the topic of clustering, the BFR algorithm is explained with this ...
0
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1answer
44 views
Dimension Reduction - Which feature should remove to reduce the dimension of the matrix
Let's suppose that we have the following 2 tables:
If we want to reduce the dimension by one(in every table) which feature we should remove and why ?
I am confused about the way that i should work ...
1
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0answers
17 views
While computing signature matrix in min hashing, can I take nth row of the permutation P in which document d has value 1?
I am learning about some techniques to find similarity between documents. One of the methods is Min Hashing. According to Min Hashing we can find a signature matrix given a random permutation, P. ...
3
votes
1answer
38 views
Find plane within margin of error of >50% of points
There are $N < 3\times10^4$ 3D points. At least 50% of them lie approximately in the same plane, i.e. the distance between the plane and each point is at most $p$. Find such a plane.
Attempt: ...
1
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2answers
77 views
What kind of logarithm does $\log$ mean in Wikipedia articles?
Sorry if this seems like a dumb question, but what what type of logarithm is $\log$ in Wikipedia articles? Cheers.
2
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0answers
22 views
In topological data analysis, do bar codes that begin and end at the same index mean anything?
The typical workflow in topological data analysis is from point cloud data to filtration to a list of bar codes corresponding to each dimension.
A filtration is a sequence of simplicial complexes, ...
2
votes
0answers
69 views
What is the definition of a "Clustering Feature" in BIRCH algorithm?
The paper for BIRCH (a clustering algorithm) contains definitions of a Clustering Feature (CF) where the notation is unclear (cf. PDF page 3 / section 4).
A cluster contains N d-dimensional entries $ ...
0
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0answers
25 views
What are Key benefits of Ontologies in Systematic Literature Review?
I am working on a Systematic Literature Review (SLR) and about to done with data synthesis. After SLR, I want to create an Ontology and include different details of the SLR in Ontology. I have almost ...
0
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1answer
116 views
Bias or not when finding patterns using data mining techniques?
I am currently following a course on Data Mining and i am very curious about the deeper underlying method. As far as i have learned so far data mining is about finding unknown patterns that can be ...
1
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0answers
67 views
Combining Computer Science and Humanities
I currently hold a bachelors in Computer science and a masters in Art History. I really want to combine the two and I know of Digital Humanities but I'm not completely aware of where Digital Humanists ...
0
votes
1answer
104 views
How is density of a substance in grams per cubic centimeter a discrete attribute?
I'm going over the different types of attributes in data-mining (nominal, ordinal, discrete, etc) and there is one example in the book that states that the density of a substance in grams per cubic ...
0
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0answers
73 views
Naviers Stokes equation and machine learning
I am looking for a reference explaining how to solve Navier-Stokes numerically using Machine learning algorithms .
Thank you in advance for your help .
1
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0answers
73 views
Understanding Time Series Data for Classification
I have collected data from numerous volunteers driving a simulator in 8 different scenarios (classes). A volunteer drives in a map for 4 minutes in one scenario (one experiment), then he drives in the ...
4
votes
1answer
164 views
Finding (and possibly extracting) source code in heterogenous text data set
I'm looking for a way to recognize and possibly extract source code from text files that may contain only source code, source code mixed with plain text or just plain text without any source code.
...
1
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1answer
32 views
How to figure out whether two texts refer to the same object or event
Let's assume there is something happen in the world - Football world cup final. And team-1 beat team-2 with the score 3:2. So there is whole bunch of articles on every website about it, each contains ...
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0answers
592 views
Algorithms for tabulating/counting/frequency counting?
It is common in data science to receive two equal length vectors (array of dimension 1), say Categories and Weights.
We aim to find all unique values of Categories and sum up the corresponding ...
1
vote
1answer
216 views
Data Searching from a large data set without reading each element
I have just started learning algorithms and data structures and I came by an interesting problem.
I need some help in solving the problem.
There is a data set given to me. Within the data set are ...
1
vote
0answers
24 views
How may I look for 'regions' of text in a larger corpus of different texts
I have an extremely large (100GB+) corpus of many different texts. All of them are in English and 'well' formatted. They are not loaded into any kind of database, think of them as a huge collection of ...
2
votes
1answer
119 views
Specific Examples with Explanation of Similarities and Differences of how Distance Functions are used Across Different Fields [closed]
I took a tangent from a student
project
I had done a number of years ago and spent some time studying distance
functions.
(please note that the above link contains the full question with links as I ...
1
vote
0answers
281 views
What is the best stream data clustering algorithm that can handle non-static, uncertain data? [closed]
I have gone through many algorithms including streaming k-means, CluStream etc and they all have their pros and cons. What is the best performing algorithm in terms of
Computational Complexity
...
1
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0answers
35 views
which paper to take that would best fit to becoming a data scientist? [closed]
My name is Webber from Auckland, New Zealand. I am currently in my second year studying the bachelor of computer and information science. I have chosen to do a double major in computational ...
0
votes
1answer
771 views
List count of occurrences pairs, triplets, etc. from sets
A receipt is an array of products. I have an array of receipts.
I need to generate a report in where I can find the products often bought together.
For instance, for a single receipt where the ...
1
vote
0answers
37 views
Outline detection from patterns in a list of textual articles
Are there NLP algorithms dealing with detecting the repeating
patterns in a a list of texts from which a topic keywords
and other associative keywords can be derived?
I will show it as an example:
...
1
vote
2answers
197 views
How to use Neural Network classification if data not same size?
I have data like this.
[0 1 0 1 0]
[0 1 0 1 0 1 1]
[0 1 0 1 ]
[0 1 0 1 0 1 1 1 1 0]
...
I want to classify with Neural Network but my data different size . I can ...
2
votes
0answers
24 views
Where to cut a category tree
Since I don't have CS background I will most probably ask this question the wrong way. I need to choose a node from a tree, where I include all beneath this node leafs in a validation.
I have a data ...
11
votes
5answers
16k views
Data Science vs Operations Research
The general question, as the title suggests, is:
What is the difference between DS and OR/optimization.
On a conceptual level I understand that DS tries to extract knowledge from the available data ...
1
vote
0answers
78 views
Indoor path prediction with machine learning and pattern matching
Ok. You'll have to bear with me because I'm new to this. I have an idea for a research project. It involves trying to predict a path that someone might take in an indoor environment. My idea is to use ...
1
vote
1answer
190 views
Method for finding correlation between data sets
Let's say that I have $N$ data sets where I have data points at some fixed frequency, such as "daily".
What would be a good method for finding correlation between any of the data sets, or choosing a ...
0
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0answers
75 views
LSH and bands for document similarity
I have 50 documents and im using LSH+Minhashing Jaccard and i get this results:
for bands:25 -> false positives: 200
for bands:10 -> false positives: 80
for bands:2 -> false positives: 28
for bands:1 ...
0
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0answers
97 views
Minhash Jaccard to find similarity between documents
I wrote a program to check the similarity of 40 documents. Firstly i use exact Jaccard method and secondly Minhash Jaccard method. I consider that the 2 methods differ if their values are differ more ...
7
votes
0answers
114 views
Guided mining of common substructures in large set of graphs
Disclaimer: I'm not a CS so I basically have no idea what I'm talking about
I have a large (>1000) set of directed acyclic graphs with a large (>1000) set of vertices each; the vertices are labeled.
...
2
votes
1answer
45 views
A decision algorithm to choose what partner to use
Background
I have a setup where I need to make an API call to a partner to initiate a financial transaction. I have multiple partners, and I need to choose which one to use each time a transaction ...
1
vote
1answer
245 views
Does a distance matrix have to be Euclidean in order to be clustered by an average-linking algorithm (UPGMA)?
What are the exact assumptions behind the use of UPGMA? Can I use a non-Euclidean metric? This may result in a non-Euclidean distance matrix. What kind of bias may I encounter if I do so? References ...
