data normalization

Model Perspective

Nov 6, 2022 · Fundamentals

How to Make Data Dimensionless: Key Normalization Techniques Explained

This article introduces the concept of dimensionless processing for indicators and reviews several common transformation methods—including standard sample transformation, ratio scaling, vector normalization, range scaling, and efficacy coefficient approaches—highlighting their principles, advantages, and limitations.

data normalizationdimensionlessrange transformation

0 likes · 3 min read

How to Make Data Dimensionless: Key Normalization Techniques Explained

Model Perspective

May 15, 2022 · Fundamentals

Standardizing Evaluation Indicators: Convert Small, Central, and Interval Metrics to Large Scores

This article explains the concept of indicator standardization, describing why aligning metric directions is essential, and provides step-by-step transformations for small, central, and interval-type indicators—such as reciprocal, translation, and scaling methods—to convert them into large-scale metrics where higher values indicate better performance.

data normalizationevaluation metricsindicator standardization

0 likes · 3 min read

Standardizing Evaluation Indicators: Convert Small, Central, and Interval Metrics to Large Scores

Model Perspective

May 15, 2022 · Fundamentals

How to Normalize Indicators: 7 Essential Dimensionless Transformation Methods

This article explains the concept of indicator dimensionless processing and introduces seven common transformation techniques—including standard sample, ratio, vector normalization, range, and efficacy coefficient methods—to convert raw indicator values into comparable evaluation scores.

data normalizationdata preprocessingdimensionless scaling

0 likes · 3 min read

How to Normalize Indicators: 7 Essential Dimensionless Transformation Methods

Xianyu Technology

Dec 12, 2018 · Big Data

Community Data Normalization Using Prefix Matching and Text Similarity

The study presents a four‑step pipeline that normalizes community data for rental platforms by clustering records using longest‑common‑prefix patterns, geographic filtering, Levenshtein similarity, and pattern‑based parent‑child assignment, achieving under 8 % false positives and 5 % false negatives.

Real Estateclusteringdata normalization

0 likes · 10 min read

Community Data Normalization Using Prefix Matching and Text Similarity

Tencent Cloud Developer

Aug 3, 2018 · Artificial Intelligence

Analysis of Google Quickdraw CNN‑RNN Model for Sketch Recognition

The article dissects Google’s Quickdraw sketch‑recognition model, detailing its 1‑D convolutional front‑end, Bi‑LSTM encoder, and softmax classifier, explaining the TFRecord‑based normalization and interpolation steps, why pooling harms accuracy, and how the massive dataset can fuel diverse sequential‑learning applications and product concepts.

CNNQuickDrawRNN

0 likes · 7 min read

Analysis of Google Quickdraw CNN‑RNN Model for Sketch Recognition

Qunar Tech Salon

Apr 30, 2015 · Databases

Parsing and Normalizing Space-Delimited Valid Periods in PostgreSQL

The article demonstrates how to split a space‑separated "validperiods" column into separate begin, end, and price fields in PostgreSQL using string_to_array, to_timestamp, regexp_replace, and unnest to transform the data into a readable tabular format.

PostgreSQLRegexSQL

0 likes · 8 min read

Parsing and Normalizing Space-Delimited Valid Periods in PostgreSQL