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my papers on decoder synthesis
Algorithm for handling durable pattern queries - Durable Graph Pattern Queries on Historical Graphs ICDE16
Algorithm for handling Top-k Durable Graph Pattern Queries on Temporal Graphs - TKDE
A Gephi plugin for community detection in dynamic networks
GitHub Pages
动态图表示论文汇总
There are a plethora of algorithms in data mining, machine learning and pattern recognition areas. It is very difficult for non-experts to select a particular algorithm. Hence, according to current application or task at hand, recommendation of appropriate classification algorithm for given new dataset is a very important and useful task. According to NO-FREE-LUNCH theorem, there is no best classifier for different classification problems. It is difficult to predict which learning algorithm will work best for a particular type of data and domain. A meta-learning method is presented to support selection of candidate learning algorithms. Meta learning tries to address the problem of algorithm selection by recommending promising classifiers based on meta-features. It uses a k-Nearest Neighbor algorithm to identify the datasets that are most similar to the one at hand. The performance of the candidate algorithms on those datasets is used to generate a recommendation to the user in the form of a ranking. The performance is assessed using a multi-criteria evaluation measure that takes accuracy, precision, recall and execution time into account. The evaluation methodology is general and can be adapted to other ranking problems.
Submission for Dynamic Pricing Strategies
Dynamic Itemset Counting is a frequent items data mining algorithm. This is not an algorithm that we created, we are just implementing it. Find the paper on DIC in the link
This is the best merchant of all time
Dynamic Network Embedding by Modeling Triadic Closure Process
Personal Blog
EANN: event-adversarial neural networks for multi-modal fake news detection
two kinds of service: item information retrieval provided item id and keyword search service provided a keyword
Cloud Top-k publish/subscribe
Event, Condition and Action Framework for rule based triggering.
Design Patterns for Fusion-Based Object Retrieval
Historical economic simulation
C# code of ECSM (AI 2016 conference)
Efficient and Distributed Temporal Pattern Mining Big Data Grupo 03
Process mining for non-interactive usage
Moocs online data analysics
The simulator for education
Code of my thesis and paper Economically-Efficient Data Stream Analysis
TensorFlow tutorials and best practices.
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.