Nomenclature for known individuals vs possibly same individuals
$begingroup$
What is the standard machine learning term for these two concepts?
- An "known" individual, from an essentially static collection of individuals
- A "query" individual, which may "match" 0-n of the known individuals
Specific context:
The "known" items are a list of things that will be searched for, eg customers.
The "query" items are items with incomplete and/or erroneous feature data
Machine learning will be used to train a model to find all "known" items that have "similar" features (ie they "match"). As a trivial example would be the known items include "John Smith" and "Jon Smith" and a query item "John Smithe" should return both of those known items.
Are there industry standard terms for the 2 types of things?
machine-learning
New contributor
$endgroup$
add a comment |
$begingroup$
What is the standard machine learning term for these two concepts?
- An "known" individual, from an essentially static collection of individuals
- A "query" individual, which may "match" 0-n of the known individuals
Specific context:
The "known" items are a list of things that will be searched for, eg customers.
The "query" items are items with incomplete and/or erroneous feature data
Machine learning will be used to train a model to find all "known" items that have "similar" features (ie they "match"). As a trivial example would be the known items include "John Smith" and "Jon Smith" and a query item "John Smithe" should return both of those known items.
Are there industry standard terms for the 2 types of things?
machine-learning
New contributor
$endgroup$
add a comment |
$begingroup$
What is the standard machine learning term for these two concepts?
- An "known" individual, from an essentially static collection of individuals
- A "query" individual, which may "match" 0-n of the known individuals
Specific context:
The "known" items are a list of things that will be searched for, eg customers.
The "query" items are items with incomplete and/or erroneous feature data
Machine learning will be used to train a model to find all "known" items that have "similar" features (ie they "match"). As a trivial example would be the known items include "John Smith" and "Jon Smith" and a query item "John Smithe" should return both of those known items.
Are there industry standard terms for the 2 types of things?
machine-learning
New contributor
$endgroup$
What is the standard machine learning term for these two concepts?
- An "known" individual, from an essentially static collection of individuals
- A "query" individual, which may "match" 0-n of the known individuals
Specific context:
The "known" items are a list of things that will be searched for, eg customers.
The "query" items are items with incomplete and/or erroneous feature data
Machine learning will be used to train a model to find all "known" items that have "similar" features (ie they "match"). As a trivial example would be the known items include "John Smith" and "Jon Smith" and a query item "John Smithe" should return both of those known items.
Are there industry standard terms for the 2 types of things?
machine-learning
machine-learning
New contributor
New contributor
New contributor
asked 12 mins ago
BohemianBohemian
1011
1011
New contributor
New contributor
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Bohemian is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45014%2fnomenclature-for-known-individuals-vs-possibly-same-individuals%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Bohemian is a new contributor. Be nice, and check out our Code of Conduct.
Bohemian is a new contributor. Be nice, and check out our Code of Conduct.
Bohemian is a new contributor. Be nice, and check out our Code of Conduct.
Bohemian is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45014%2fnomenclature-for-known-individuals-vs-possibly-same-individuals%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown