crimeserieslinkage
Statistical methods for identifying serial crimes and related offenders
The module «crimeserieslinkage» for Python is designed to automate research related to the study of signs of serial crimes of various types, allowing to identify those crimes that are committed by the same person (group of persons), as well as to establish the most similar suspect, information about which has already existed in the database of persons previously committed similar crimes.
The functions from this module allow to solve the following problems: the establishment of signs that allow identifying serial (linkage) crimes and serial offenders; determine in the array of unsolved criminal cases those of them that are serial and committed by the same suspect; identification of the most likely suspect from among persons accounted for in the database of persons who have committed similar crimes.
1 maintainer
Metadata
1 maintainer
Release files for crimeserieslinkage 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| crimeserieslinkage-1.1.0.tar.gz | 36.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crimeserieslinkage-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 73.9 kB
Release files / crimeserieslinkage-1.1.0.tar.gz
| Download URL | crimeserieslinkage-1.1.0.tar.gz |
|---|---|
| Size | 36.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a74f65563dc42a298985d7ff5e6695cab7f1d8a9053f4749905ceb38aa301a3a
|
|
BLAKE2b-256 checksum How to use checksums |
2b5c863633b1145b10d9192cc2a8280faba263b7ac2218ae1702b23b254bfbcc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.13
|
Release files / crimeserieslinkage-1.1.0-py3-none-any.whl
| Download URL | crimeserieslinkage-1.1.0-py3-none-any.whl |
|---|---|
| Size | 37.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
af661fc5139e948a55a9724e58d9d33107e6c93ba0369a5246d6102514bda0ff
|
|
BLAKE2b-256 checksum How to use checksums |
82ee8313114c359b8e722acbd2fcd6e435c8b0c6b6bc8e2614966cfa31e63a43
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.13
|
Security for crimeserieslinkage 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
