Download JAR files tagged by hash with all dependencies
nilsimsa from group com.weblyzard.lib.string (version 0.0.5)
A Java implementation of the Nilsimsa locality sensitive hash. The Nilsimsa algorithm computes a 256 bit hash value that indicates how different two strings are. The more similar the strings the smaller will be the bitwise difference between their respective Nilsimsa hashes. Therefore, Nilsimsa is well suited to detect texts of the same origin, such as slightly modified spam messages, updated newspaper articles, etc.
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Artifact nilsimsa
Group com.weblyzard.lib.string
Version 0.0.5
Last update 30. October 2018
Organization not specified
URL https://github.com/weblyzard/nilsimsa
License GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.weblyzard.lib.string
Version 0.0.5
Last update 30. October 2018
Organization not specified
URL https://github.com/weblyzard/nilsimsa
License GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
geokey from group io.github.markrileybot (version 0.1.0)
# geokey
K Dimensional Z-Order curve utils.
[![Build Status](https://travis-ci.org/markrileybot/geokey.svg?branch=master)](https://travis-ci.org/markrileybot/geokey)
[![Coverage Status](https://coveralls.io/repos/github/markrileybot/geokey/badge.svg?branch=master)](https://coveralls.io/github/markrileybot/geokey?branch=master)
[![Maven Central](https://maven-badges.herokuapp.com/maven-central/io.github.markrileybot/geokey/badge.svg)](https://maven-badges.herokuapp.com/maven-central/io.github.markrileybot/geokey)
## Building
./gradlew build
## Gradle dependency
See https://search.maven.org/artifact/io.github.markrileybot/geokey/
## Using
### Use built in keys to make geohashes
```java
import org.geokey.GeoKey;
// Make a geo hash key
String key = new GeoKey().setLatitude(48.669).setLongitude(-4.329).toString(); // "gbsuv7ztqzpts82uzfwq5e1bp"
// parse a geo hash key
GeoKey gk = new GeoKey("gbsuv7ztqzpts82uzfwq5e1bp");
```
### Make a special purpose K-Dimensional key
```java
public class GeoTimeKey extends KDKey {
private static final KDKeySpec spec = new KDKeySpec.Builder()
.addDim(-180, 180, 1)
.addDim(-90, 90, 1)
.addDim(0, 1L << 62, 1)
.setAlphabet(Alphabet.GEO_TIME_HASH)
.build();
public GeoTimeKey() {
super(spec);
}
public GeoTimeKey(String s) {
super(spec, s);
}
public GeoTimeKey(byte[] s) {
super(spec, s);
}
public GeoTimeKey setLatitude(double latitude) {
set(1, latitude);
return this;
}
public double getLatitude() {
return super.get(1);
}
public GeoTimeKey setLongitude(double longitude) {
set(0, longitude);
return this;
}
public double getLongitude() {
return super.get(0);
}
public GeoTimeKey setTime(long time) {
set(2, time);
return this;
}
public long getTime() {
return (long) get(2);
}
}
```
0 downloads
Artifact geokey
Group io.github.markrileybot
Version 0.1.0
Last update 20. June 2022
Organization not specified
URL https://github.com/markrileybot/geokey
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group io.github.markrileybot
Version 0.1.0
Last update 20. June 2022
Organization not specified
URL https://github.com/markrileybot/geokey
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
rush from group edu.utah.bmi.nlp (version 3.0)
RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is
specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table
to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and
eliminates the effect of rule order on accuracy.
If you wish to cite RuSH in a publication, please use:
Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool
Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
The full text can be found at:
https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616
This version allows defining section scopes for sentence segmentation.
Artifact rush
Group edu.utah.bmi.nlp
Version 3.0
Last update 10. February 2018
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 3
Dependencies nlp-core, fastner, junit-repeat-rule,
There are maybe transitive dependencies!
Group edu.utah.bmi.nlp
Version 3.0
Last update 10. February 2018
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 3
Dependencies nlp-core, fastner, junit-repeat-rule,
There are maybe transitive dependencies!
rush from group edu.utah.bmi (version 1.0)
RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is
specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table
to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and
eliminates the effect of rule order on accuracy.
If you wish to cite RuSH in a publication, please use:
Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool
Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
The full text can be found at:
https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616
Artifact rush
Group edu.utah.bmi
Version 1.0
Last update 23. April 2017
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 6
Dependencies uimaj-core, uimaj-tools, uimaj-document-annotation, uimafit-core, uimaj-examples, junit,
There are maybe transitive dependencies!
Group edu.utah.bmi
Version 1.0
Last update 23. April 2017
Organization The Department of Biomedical Informatics, University of Utah
URL https://github.com/jianlins/RuSH
License The Apache Software License, Version 2
Dependencies amount 6
Dependencies uimaj-core, uimaj-tools, uimaj-document-annotation, uimafit-core, uimaj-examples, junit,
There are maybe transitive dependencies!
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