fuzzy-logic-search: Query Documents with Fuzzy Logic
A framework for querying structured JSON documents using fuzzy logic principles, producing degree-of-membership scores instead of binary relevance.
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A framework for querying structured JSON documents using fuzzy logic principles, producing degree-of-membership scores instead of binary relevance.
EBK is a comprehensive eBook metadata management tool that combines a robust SQLite backend with AI-powered features including knowledge graphs, semantic search, and MCP server integration for AI assistants.
A production-ready streaming data processing system implementing boolean algebra over nested JSON structures. JAF brings dotsuite's pedagogical concepts to production with lazy evaluation, S-expression queries, and memory-efficient windowed …
A production-ready implementation of relational algebra for JSONL data with full support for nested structures. jsonl-algebra brings dotsuite's dotrelate concepts to production with streaming operations, schema inference, and composable pipelines.
In my paper, Reliability Estimation in Series Systems, I discarded a lot of research that may be interesting to pursue further. This one is about using homogeneous shape parameters for the Weibull series system, which can greatly simplify the …
In [1], the authors present a method for constructing a symbolic (nominal) representation for real-valued time series data. A symbolic representation is desirable because then it becomes possible to use many of the effective algorithms that require …