Design and Measurements: Accuracy of this number-oriented approach was compared to manual chart abstraction. Audits measured performance in clinical practice for two commonly used electronic record systems. Results: Numeric measurements embedded within free text of the EPRs constituted 80% of relevant measurements. For 11 of 13 clinical measurements, the study extraction method was 94%–100% sen...

Agent-based social simulation models have a wide range of applications, and can incorporate numeric parameters of various kinds. In this paper, we use a simple agent-based simulation model of a laboratory experiment in network colouring to explore the selection of such numeric parameters. In particular, we examine two fundamental approaches to selecting model parameters (model calibration) base...

Signals that represent information may be classified into two forms: numeric and symbolic. Symbolic signals are discrete-time sequences that at, any particular index, have a value that is a member of a finite set of symbols. Set membership defines the only mathematical structure that symbolic sequences satisfy. Consequently, symbolic signals cannot be directly processed with existing signal pro...

We present a method to learn maximal generalized decision rules from databases by integrating discretization, generalization and rough set feature selection. Our method reduces the data horizontally and vertically. In the first phase, discretization and generalization are integrated and the numeric attributes are discretized into a few intervals. The primitive values of symbolic attributes are ...

We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation between the number of occurrences of the pattern in each string, and the numeric attribute value assigned to the string. We present two algorithms based on suffix trees, that can find the optimal substring pattern in O...

Python is popular among numeric communities that value it for easy to use number crunching modules like [NumPy], [SciPy], [Dask], [Numba], and many others. These modules often use multi-threading for efficient multi-core parallelism in order to utilize all the available CPU cores. Nevertheless, their threads can interfere with each other leading to overhead and inefficiency if used together in ...

Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers. The analysis leads to a new discretization method, Non-Disjoint Discretization (NDD). NDD forms overlapping intervals for a numeric attribute, always locating a value toward the middle of an interval to obtain more r...