symbolic data

USAGE SUMMARY

The phrase "symbolic data" is correct and usable in written English.
It can be used in contexts related to data representation, computer science, or statistics where data is represented in a symbolic form rather than numerical. Example: "In our analysis, we will focus on symbolic data to better understand the underlying patterns in the dataset."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

14 human-written examples

Although modern science is "iconoclastic", as Gaston Bachelard phrases it (i.e. bent on replacing living entities by symbolic data: e.g. biochemical and mathematical symbols and codes), scientists are at the same time prolific producers of metaphoric images themselves.

Life Sciences, Society and Policy

shall be overcome by the symbolic data (a.k.a.a

European Journal of Futures Research

The On cycles data are transformed to symbolic data with the SAX transformation method.

Complex Adaptive Systems Modeling

In effect, the similarity of symbolic data sequence becomes a subtle measure.

Computational Statistics & Data Analysis

Previous works adopted this approach on both audio and symbolic data such as [3, 21, 25, 29].

Complex & Intelligent Systems

kLog supports mixed numerical and symbolic data, as well as background knowledge in the form of Prolog or Datalog programs as in inductive logic programming systems.

Artificial Intelligence

Human-verified similar examples from authoritative sources

Similar Expressions

46 human-written examples

This is achieved by translating a qualitative physics problem into a parameterized simulation problem; performing a detailed physics-based simulation of a robot plan; logging the state evolution into appropriate data structures; and then translating these sub-symbolic data structures into interval-based first-order symbolic, qualitative representations, called timelines.

Artificial Intelligence

An unsupervised machine learning technique extensively used in language recognition, GI reveals underlying structure of symbolic sequential data.

Complex & Intelligent Systems

RCMAG accepts both numeric and symbolic input data from the user, manages it to create code, and releases the compiled model object, which is ready to be added to the VTB model library and be used in a simulation.

Mathematics and Computers in Simulation

Indeed, the size of DE constraints for the negative feedback model with oscillation was reduced from 7.4MB obtained by the pure differential elimination in present procedure to 0.1MB after the equation simplification by symbolic computation (data not shown).

BMC Systems Biology

Benchmarks on the symbolic regression and data classification domains were performed.

Journal of Parallel and Distributed Computing

Expert writing Tips

Best practice

When discussing "symbolic data", be specific about the type of symbols used and the system of representation. For example, clarify whether you're referring to biochemical symbols, mathematical notations, or linguistic symbols.

Common error

Don't assume your audience understands the specific symbolic system you are using. Always provide context and definitions, especially when using "symbolic data" in interdisciplinary contexts.

Linguistic Context

The phrase "symbolic data" functions as a noun phrase where the adjective "symbolic" modifies the noun "data". According to Ludwig, it is used to describe data represented using symbols, codes, or abstract representations rather than direct numerical values.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Science

0%

Ludwig's WRAP-UP

The term "symbolic data" is a grammatically sound and relatively common phrase, predominantly used within scientific and technical domains. As Ludwig AI confirms, its primary function is to describe data represented through symbols or codes, differentiating it from numerical or directly measurable data. Common contexts involve data analysis, computer science, and discussions of qualitative versus quantitative information. To avoid ambiguity, clearly define the symbolic system in use. Alternative terms include "representational information" and "abstract data". Ludwig's analysis of numerous examples underscores the term's importance in specialized fields requiring precise communication about data types.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

symbol-based information

Highlights that data is built of symbol based information.

symbolic representation

Highlights the method of representing data rather than the data itself.

representational information

Focuses on the act of representing data, shifting the emphasis from the type of data to its function.

abstract data

Highlights the non-concrete nature of the data, emphasizing its conceptual or theoretical basis.

non-numerical data

Focuses on data that does not consist of numbers or numerical values.

coded information

Emphasizes the encoded or encrypted aspect of the data.

notational data

Focuses on the use of a specific notation system to represent data.

semiotic data

Emphasizes the study of signs and symbols and their use or interpretation.

qualitative data

Shifts the focus to data characterized by qualities or descriptions rather than numerical measurements.

categorical data

Specifies that data is divided into distinct categories or groups.

FAQs

How is "symbolic data" used in data analysis?

"Symbolic data" is often transformed and analyzed using methods tailored for non-numerical information, such as sequence analysis or machine learning techniques that can recognize patterns in "categorical data".

What's the difference between "symbolic data" and numerical data?

"Symbolic data" represents information through symbols or labels, while numerical data uses numbers. Converting data into a symbolic form can simplify complex information or highlight qualitative differences that might be obscured by numerical representation.

What are examples of "symbolic data" in computer science?

Examples of "symbolic data" in computer science include programming code, logical expressions, and data represented in knowledge representation languages like Prolog or OWL. These are distinct from numerical data, which is the one used in algorithms or "statistical analysis".

Can "symbolic data" be converted into numerical data for analysis?

Yes, "symbolic data" can be converted into numerical data through encoding techniques such as one-hot encoding or feature hashing. This allows machine learning algorithms that require numerical input to process "categorical variables".