QABBA: Error-Guaranteed Symbolic Time-Series Compression via Integer-Quantized Aggregation
QABBA is a method for compressing time-series data by converting complex continuous signals into discrete symbolic chains of integers. The process uses quantization and aggregation to achieve smart, reliable compression. Crucially, the system provides mathematical guarantees on the error bound, making it suitable for critical AI and edge computing applications.