Questions tagged [data-sets]
Questions asking for real-life or benchmarking data sets.
56
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Reproducible research (published papers) about e-commerce or fashion
I am looking for reproducible research (published papers) about e-commerce and/or fashion which deals with exploratory data analysis, hypothesis testing and regression or ANOVA. This reproducible ...
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Is there a sorting program or formula to sort and place individuals in classes based on preferences
I am looking for a formula or program to help place people in classes based on their preferences.
The elements of the problem are:
There are 30 class choices a student can pick from.
There are 400 ...
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1
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416
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Weighted-Graph Datasets
I am searching for datasets to evaluate an algorithm designed for tasks such as node-classification (edge-prediction, etc.) on weighted and potentially directed graphs.
The Stanford Network Analysis ...
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1
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217
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Finding smallest triangle to fit all points
I'm supposed to find an algorithm that, given a bunch of points on the Euclidean plane, I have to return the tightest (smallest) origin centered upright equilateral triangle that fits all the given ...
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Q: Defining Markov-Chain Probability Matrix States | Specific Academic Paper
I am working on a uni project, for which i will model synthetic electricity consumption time series using Markov-Chains. I am reading through current academic literature on that topic and came across ...
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Deep RL for healthcare: existing benchmarking datasets or environments
I am currently a Ph.D. student in the computer science department, I was given the subject of Deep RL for Healthcare. However, after lots of research on the internet, I could not find any free dataset ...
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Test data for tasks that communicate over network
I am working on a load balancer that schedules tasks that communicate over network. I want to test its performance, but I'm struggling to find test data for it. Currently I try to extract relevant ...
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Indexing a huge dataset (that does not fit into central memory)
The problem.
Let us consider a huge file with billions of lines, each containing a string. There are $n$ different strings and $m$ lines in the file, with $m$ much greater than $n$, although both are ...
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Examples of difficult Hamiltonian Cycle Problems
I am working on implementing algorithms to solve Hamiltonian Cycle Problem. I need difficult problem graphs to test my implementations but my google-fu is weak and am unable to find any.
Please advise ...
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2
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What factors of the integer dataset being sorted can I change, in order to compare two sorting algorithms?
I am comparing two comparison and binary data structure based sorting algorithms, the Tree Sort, and the Heap Sort. I am measuring the time taken for both algorithms to sort an increasing size of an ...
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1
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Face recognition system with a sparse dataset
I have a dataset of 100 ID's, each ID with only a single unique face image. How can I develop an effective face recognition system to recognise only these faces?
I was thinking Deep Learning but the ...
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Database that contains timespans of cyber attacks in the web
for a project I need to evaluate a model, that tries to predict wether a certain cyber-attack (i.e. connection to a low level honeypot) is just a random access, a new attack-wave or an already known ...
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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 ...
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Raters and subsampling
In order to select questions for an online contest, we get contributors to submit potential questions that they write themselves. Then, out of, say 100 submitted questions, we have to rate them and ...
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point clouds in machine learning
What is the purpose of point clouds in machine learning?
Consider the following suggestion:
Say I have a table (per year) of records (such as days) each of which is made of n real numbers such as ...
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What is the most efficient algorithm for creating a list of unique values from a list of pairs of value?
Background
I have a list of 50 million $A-A_i$ pairs, where $i>1$, and $A$ and $A_i$ are some text. I need to extract the $A$ values from the list, so I get a new list of unique $A$ values.:
$$
\...
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Abstract Data Types and their Implementation [closed]
I wanted to know if there is good resource to learn about the ADTs like set ADT, list, array, boolean etc and their implementation.
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Describe briefly how analogue data differs from digital data.
I was wondering if you could help me to understand the difference between analogue and digital data. I looked it up online but couldn't find a proper answer. If for any reason this is the wrong site ...
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Derivative and integral of experimental data
I have same experimental data with same noise:
I have to calculate the derivative and the integral of the function that fit the experimental data. I try with all the function in this page but the ...
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1
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685
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Entropy and Information Gain for multi attributes
Is there any way that for specific dataset I can measure entropy and information gain for two or more attributes together? Let's say we have the following dataset:
$\begin{array}{cccccc|c}
x1 & ...
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2
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886
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create large data sets for machine learning
I am trying to research a new topic using machine learning. The problem is, I have a very small dataset, consisting of 5 months of data. I have been told that my dataset is too small. I want to know ...
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How to feed videos to a neural network
I have been coding and testing Neural Networks for a while but as of now I have only used IMAGE datasets. (i.e. I have M training images and N testing images).
Some datasets are video datasets. The ...
user83728
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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 ...
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Algorithm that shifts points in the x-y plane to maximize distance but keep one axis constant
Suppose I am running an experiment with some subjects, and I obtain some numerical data from them. The subjects are divided into 2 experimental groups. Rather than display the means of each group in a ...
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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 ...
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Classes of outer totalistic cellular automata
I'm wondering if anyone knows of any place where the Wolfram classifications of many outer totalistic cellular automata have been catalogued. The classes of a few examples are given in A New Kind of ...
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210
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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 ...
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508
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Where I can I find Pre Trained CNN Datasets for Facial Emotion Recognition?
I am working on a project that involves recognising emotion from images. There are two parts in the project: One where I will generate features from images using API's and then classify the emotion ...
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What is the metadata in microblogging platform?
I'm reading papers regarding microblog credibility perception of non-text cues.
Tweeting is believing? Understanding microblog credibility perceptions
by Morris et al., 2012
Microblog Credibility ...
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1
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2k
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About the MNIST data-set
Is this known as a fact or from some analysis that the MNIST data-set is almost as if its sampled from some low (~10?) dimensional manifold? Is there a locally linear embedding to a low-dimensional ...
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Can file entropy be predictable?
I am working on some lossless compression topic and looking on any resources or prior studies on lossless file entropy predictability.
Assuming we know type of the file (we can tell its belongs to ...
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Parallel Machine Scheduling test data
I am writing optimization program for unrelated parallel machine scheduling problem on CUDA. Now, the only thing I am missing are some test cases.
Does anyone know where I can find such data? I have ...
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Describe data structure using equations
Good afternoon.
At work I'm currently developing a system which takes user input (well structured) and then stores it in memory to do some processing.
The input is basically a dataset formed by ...
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Interesting small SAT problems?
I'm noodling around with making a hardware SAT solver on an FPGA, and I'm wondering if there are any interesting SAT problems smaller than, say, 50 variables both to stay within the limits of the FPGA ...
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How to parse data in a text file? [closed]
I had a question about altering a text file. I have data in the following format.
1 a,b,c
2 d,e
3 a, l, m,n
Note that some of them have spaces after the coma
...
user40759
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benchmark data set for Metareasoning problem
I am developing algorithm for solving following problem:
Given a set of items with unknown feature(s) (but know distribution of feature(s)). Algorithm must choose what items to measure(every measure ...
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Semantic information collections on the web. (Semantic Wikipedia)
There are lots of technologies supporting semantic information markup even as wiki software.
I am wondering if there is any kind of broad information collection project like Wikipedia which features ...
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Relative Importance in Graph Theory [closed]
I am working on an algorithm that ranks a set of nodes in a graph with respect to how relative this node is to other predefined nodes (I call them query nodes). The way how the algorithm works is ...
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Automatically generate meaningful queries for a data table
My field of research is not Database or AI. But I have some problems to solve, and would like to know which branch this kind of problems belong to, and what are the results.
The main question is: ...
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How to filter a very, very large file
I have a very large unsorted file, 1000GB, of ID pairs
ID:ABC123 ID:ABC124
ID:ABC123 ID:ABC124
ID:ABC123 ID:ABA122
ID:ABC124 ID:ABC123
ID:ABC124 ID:ABC126
I would like to filter the file for
1) ...
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What are good counter-examples when training an apple classifier? [closed]
I am doing a project in order to recognize an apple. (I am using Emgucv with Visual Studio 2010 C#, if that's relevant). My project is a classification (is or is not an apple). I have 2000 images of ...
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5
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What is the best way to index lookups on a 2D array of integers that is boundless in x and y?
Lets say you have a data model that consists of a 2D grid of integer points. This grid is sparsely populated and boundless in x and y (up to the max of a 32-bit integer).
What is the best way to ...
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1
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Environment requirement in training image dataset for classifier
I have a question about preparing the dataset of positive samples for a cascaded classifier that will be used for object detection.
As positive samples, I have been given 3 sets of images:
a set of ...
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Access to publicly available project with all the artefacts (files) created during the development [closed]
Does anyone know where I could get an access to a project that contains all the artefacts (documents) that were created during the development? So I would like to get all the word, pdf, power designer,...
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Looking for dynamic network data sets [closed]
There are a number of collections of network (or graph) data sets freely available on the web, e.g.
http://snap.stanford.edu/data/index.html
http://www.cc.gatech.edu/dimacs10/downloads.shtml
I am ...
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Are there repositories of automatically generated (spam) webpages?
I'm interested to see if I can use machine learning/network analysis methods to automatically detect automatically generated (spam) webpages. I'm particularly interested in webpages that look ...
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1
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How is sound input and output data converted to use with machine learning networks?
Suppose one has a couple of .wav files with English spoken words, multiple ones for each word, and for each such set there exists a transcription of their right output, the pronunciation as ascii text....
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Maximum variance and useful information of dataset
I am reading through PCA and it says that the maximum variance principal component has most of the information. Can we apply that to any data set? If a data set has n attributes and most of the ...
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Algorithm for query comparison
Lets say I have a global dataset and I run queries over those data set.
For example my dataset would be
#id, #Name, #Employee, #Birthdate, #number_of_children
1, Nick, Nasa, 1982, 1
2, Jack, Exon, ...
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