Honey: A dataflow programming language for the processing, featurization and analysis of multivariate, asynchronous and non-uniformly sampled scalar symbolic time sequences
Mathieu Guillame-Bert

TL;DR
HONEY is a specialized programming language and environment designed for efficient, error-resistant processing and analysis of complex multivariate, asynchronous, and non-uniformly sampled time sequences, with features supporting visualization, parallelism, and large datasets.
Contribution
HONEY introduces a new high-level language and IDE for processing complex time sequences, enabling efficient, error-resistant, and scalable analysis with interactive visualization tools.
Findings
Supports recursive process flow diagrams from text
Guarantees consistent execution on static and streaming data
Enables processing of datasets larger than memory
Abstract
We introduce HONEY; a new specialized programming language designed to facilitate the processing of multivariate, asynchronous and non-uniformly sampled symbolic and scalar time sequences. When compiled, a Honey program is transformed into a static process flow diagram, which is then executed by a virtual machine. Honey's most notable features are: (1) Honey introduces a new, efficient and non-prone to error paradigm for defining recursive process flow diagrams from text input with the mindset of imperative programming. Honey's specialized, high level and concise syntax allows fast and easy writing, reading and maintenance of complex processing of large scalar symbolic time sequence datasets. (2) Honey guarantees programs will be executed similarly on static or real-time streaming datasets. (3) Honey's IDE includes an interactive visualization tool which allows for an interactive…
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Advanced Database Systems and Queries · Data Visualization and Analytics
