17 citations · 39 across the 10 of their papers we have counts for
11 papers
Fast Classification of Large Time Series Datasets
Muhammad Marwan Muhammad Fuad
Time series classification (TSC) is the most import task in time series mining as it has several applications in medicine, meteorology, finance cyber security, and many others. Wit…
TSAX is Trending
Muhammad Marwan Muhammad Fuad
Time series mining is an important branch of data mining, as time series data is ubiquitous and has many applications in several domains. The main task in time series mining is cla…
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
Muhammad Marwan Muhammad Fuad
Time series classification is an important problem in data mining with several applications in different domains. Because time series data are usually high dimensional, dimensional…
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
Muhammad Marwan Muhammad Fuad
The Symbolic Aggregate approXimation (SAX) is a very popular symbolic dimensionality reduction technique of time series data, as it has several advantages over other dimensionality…
Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality
Muhammad Marwan Muhammad Fuad
Time series data account for a major part of data supply available today. Time series mining handles several tasks such as classification, clustering, query-by-content, prediction,…
One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification
Muhammad Marwan Muhammad Fuad
For the last few decades, optimization has been developing at a fast rate. Bio-inspired optimization algorithms are metaheuristics inspired by nature. These algorithms have been ap…
Towards Normalizing the Edit Distance Using a Genetic Algorithms Based Scheme
Muhammad Marwan Muhammad Fuad
The normalized edit distance is one of the distances derived from the edit distance. It is useful in some applications because it takes into account the lengths of the two strings…
Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation
Muhammad Marwan Muhammad Fuad
Bio-inspired optimization algorithms have been gaining more popularity recently. One of the most important of these algorithms is particle swarm optimization (PSO). PSO is based on…
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams
Muhammad Marwan Muhammad Fuad
The problem of similarity search is one of the main problems in computer science. This problem has many applications in text-retrieval, web search, computational biology, bioinform…
Towards a faster symbolic aggregate approximation method
Muhammad Marwan Muhammad Fuad, Pierre-François Marteau
The similarity search problem is one of the main problems in time series data mining. Traditionally, this problem was tackled by sequentially comparing the given query against all…
The Extended Edit Distance Metric
Muhammad Marwan Muhammad Fuad, Pierre-François Marteau
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers re…