Papers by Ramon Mata-Toledo
Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients
Lecture Notes in Computer Science, 2013
ABSTRACT Gait analysis provides a very large data volume coming from kinematic, kinetic, electrom... more ABSTRACT Gait analysis provides a very large data volume coming from kinematic, kinetic, electromyographic (EMG) registers and physical examinations. The analysis and treatment of these data is difficult and time consuming. This work applies and explores exhaustively different analysis methods from data mining on these gait data. This study aims to provide a classification system based in gait patterns obtained from EMG records in children with spastic hemiplegia. The methods studied from data mining specifically for the classification task include SVM, neural networks, decision trees, regression logistic models and others. Different techniques of feature extraction and selection have been also employed and combined with classifications methods. The LMT algorithm provides the best result with 97% of instances classified correctly taking into account the indicators for 2 legs. A qualitative and quantitative validation were performed on the data.
Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients
Springer eBooks, 2013
ABSTRACT Gait analysis provides a very large data volume coming from kinematic, kinetic, electrom... more ABSTRACT Gait analysis provides a very large data volume coming from kinematic, kinetic, electromyographic (EMG) registers and physical examinations. The analysis and treatment of these data is difficult and time consuming. This work applies and explores exhaustively different analysis methods from data mining on these gait data. This study aims to provide a classification system based in gait patterns obtained from EMG records in children with spastic hemiplegia. The methods studied from data mining specifically for the classification task include SVM, neural networks, decision trees, regression logistic models and others. Different techniques of feature extraction and selection have been also employed and combined with classifications methods. The LMT algorithm provides the best result with 97% of instances classified correctly taking into account the indicators for 2 legs. A qualitative and quantitative validation were performed on the data.
Green cloud architecture
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Recently, cloud computing has become very popular and has emerged as a widely accepted computing ... more Recently, cloud computing has become very popular and has emerged as a widely accepted computing and…
El algoritmo del juego del caos, los fractales y su aplicación al reconocimiento de autores
Lingüística para el siglo XXI: III Congreso …, 1999
Información del artículo El algoritmo del juego del caos, los fractales y su aplicación al recono... more Información del artículo El algoritmo del juego del caos, los fractales y su aplicación al reconocimiento de autores.
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Automated tools play an important role in the promotion and adoption of software engineering meth... more Automated tools play an important role in the promotion and adoption of software engineering methods and processes. The development of these tools is itself a significant software engineering task, requiring a considerable investment of time and resources. There are a large number of different kinds of automated software engineering tools, variously known as CASE, CAME, IPSE, SEE, and metaCASE tools. Although these tools differ in the particular methods, activities, and phases of the software development cycle to which they are applied, constructors of these tools often face similar implementation issues. Decisions about host computing platform, implementation language, conformance with standards and reference models, choice of repository, integration and interoperability mechanisms, and user interface style have to be made. This minitrack is based around the experience reports of researchers and practitioners actively involved in software engineering tool development.
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Automated tools play an important role in the promotion and adoption of software engineering meth... more Automated tools play an important role in the promotion and adoption of software engineering methods and processes. The development of these tools is itself a significant software engineering task, requiring a considerable investment of time and resources. There are a large number of different kinds of automated software engineering tools, variously known as CASE, CAME, IPSE, SEE, and metaCASE tools. Although these tools differ in the particular methods, activities, and phases of the software development cycle to which they are applied, constructors of these tools often face similar implementation issues. Decisions about host computing platform, implementation language, conformance with standards and reference models, choice of repository, integration and interoperability mechanisms, and user interface style have to be made. This minitrack is based around the experience reports of researchers and practitioners actively involved in software engineering tool development.
Schaums outline : dasar-dasar database relasional/ Mata-Toledo
viii, 157 hal.: tab.; 28 cm
Dasar-dasar database relasional
Erlangga, 2007
Judul asli: schaum's outlines of fundamentals of relational3databasesviii, 157 p : ill.; 27 cm
International Journal of Computer & Software Engineering, 2020
Most of the graphics published about the COVID-19 have exponential behavior. A lot of them have b... more Most of the graphics published about the COVID-19 have exponential behavior. A lot of them have been driven with only the data given by government institutions. In this paper, the authors attempt to describe a general procedure to convert any group of data into a graph, where the application of the Least Square Method can provide a mathematical formula that can be used for different situations and purposes including improving the current graphs of the disease.
Dasar-dasar database relasional / Ramon A. Mata-Toledo, Pauline K. Cushman; Alih bahasa, Soni Astranto; Editor, Taufan Prasetyo, Lemeda Simarmata
1 Pangkalan Data Manajemen Dasar Dasar Database Relasional Ramon a Mata Toledo Pauline K Cushman Alih Bahasa Soni Astranto Editor Taufan Prasetyo Lemeda Simarmata, 2007
Data mining process
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Data mining is the process of discovering valid, comprehensible, and potentially useful knowledge... more Data mining is the process of discovering valid, comprehensible, and potentially useful knowledge fr…
Open-source software
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Computer storage technology
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The hardware components, both internal and external, of a computer used to read (retrieve) or write…
Numerical representation (computers)
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Numerical data in a computer are written in basic units of storage made up of a fixed number of con…
An Essential Guide for IT Professionals, 2005
A software development life cycle model (SDLC) consists of a set of processes (planning, requirem... more A software development life cycle model (SDLC) consists of a set of processes (planning, requirements, design, development, testing, installation and maintenance) defined to accomplish the task of developing a software application that is functionally correct and satisfies the user's needs. These set of processes, when arranged in different orders, characterize different types of life cycles. When developing a database, the order of these tasks is very important to efficiently and correctly transform the user's requirements into an operational database. These SDLCs are generally defined very broadly and are not specific for a particular type of application. In this paper the authors emphasize that there should be a SDLC that is specific to database applications. Database applications do not have the same characteristics as other software applications and thus a specific database development life cycle (DBDLC) is needed. A DBDLC should accommodate properties like scope restriction, progressive enhancement, incremental planning and pre-defined structure.
Visualization of random sequences using the chaos game algorithm
Journal of Systems and Software, 1997
A graphical technique using iterated function systems is used to examine random number generators... more A graphical technique using iterated function systems is used to examine random number generators by visually looking for patterns in the data generated. This simple graphical technique, which may be implemented and used on a PC, can complement more ...
Schaum's outline of fundamentals of sql programming
DEDICATION Dedicated to the memory of my earthly father, Miguel Jesus Mata and to the glory and p... more DEDICATION Dedicated to the memory of my earthly father, Miguel Jesus Mata and to the glory and praise of my heavenly Father, the Uplifted Savior for the continuous blessing that He offers me through the love and dedication of my wife Anahis and my children Harold, Lys, and ...
Algorithm
Van Nostrand's Scientific Encyclopedia, 2005
A Critique of Validation/Verification Techniques for Software Development Measures
Workshops in Computing, 1992
Both validation and verfication of software measures are essential. Validation checks the predict... more Both validation and verfication of software measures are essential. Validation checks the predictive abilities of a measure against a dependent variable while verification checks the reasonableness of the measure. The software community has developed many measures but has usually failed to properly validate and/or verify the measures. This paper critiques current verification and validation methods including the shotgun approach, which correlates many measures against one or more dependent variables; the dependent variable approach; the controlled experiment approach; the foundation approach, which views software measures as mathematical entities to be studied and analyzed; the intuitive approach; the exploratory approach, which uses factor analysis; the goal-oriented approach, which produces measures of the quantities to optimize; and the defacto approach.
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Papers by Ramon Mata-Toledo