hyowong Goto Github PK
Name: Jang Il
Type: User
Name: Jang Il
Type: User
매우 쉽고 간단한 docker 사용법 정리
DAO oriented database mapping framework for Java 8+
책에서 사용하는 샘플 예제
Open Source, Distributed, RESTful Search Engine
Home for Elasticsearch examples available to everyone. It's a great way to get started.
Excel Parser
A library for efficient similarity search and clustering of dense vectors.
A problem that has been the focus of much recent research in privacy preserving data-mining is the frequent itemset hiding (FIH) problem. Identifying itemsets that appear together frequently in customer transactions is a common task in association rule mining. Organizations that share data with business partners may consider some of the frequent itemsets sensitive and aim to hide such sensitive itemsets by removing items from certain transactions. Since such modifications adversely affect the utility of the database for data mining applications, the goal is to remove as few items as possible. Since the frequent itemset hiding problem is NP-hard and practical instances of this problem are too large to be solved optimally, there is a need for heuristic methods that provide good solutions. This dissertation developed a new method called Min_Items_Removed, using the Frequent Pattern Tree (FP-Tree) that outperforms extant methods for the FIH problem. The FP-Tree enables the compression of large databases into significantly smaller data structures. As a result of this compression, a search may be performed with increased speed and efficiency. To evaluate the effectiveness and performance of the Min_Items_Removed algorithm, eight experiments were conducted. The results showed that the Min_Items_Removed algorithm yields better quality solutions than extant methods in terms of minimizing the number of removed items. In addition, the results showed that the newly introduced metric (normalized number of leaves) is a very good indicator of the problem size or difficulty of the problem instance that is independent of the number of sensitive itemsets.
This project illustrates how to upload files and display them
fileupload(util) drag&drop
pdf, rtf, docx, hwp를 html로 변환하는 모듈입니다
Financial data reader
Gateleen is a RESTful middleware toolkit for building API gateways
NLP made easy
Google Spreadsheets R API
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Gravitee.io - API Management - OpenSource API Gateway
Gravitee.io - API Management - Management Rest API
Google core libraries for Java
Header-only C++/python library for fast approximate nearest neighbors
hwp library for java
Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
Vert.x implementation of a Hystrix Events Metrics Stream
Remove content from your digital documents irretrievably instead of just covering it up. Redact text, images, parts of images or drawings for complete confidentiality. iText pdfSweep complies with GDPR for data redaction.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Mirror of Apache Jackrabbit
Mirror of Apache Jackrabbit Oak
java concurrency 예제 정리
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.