Pencarian Koleksi Digital
Hasil Pencarian Ditemukan 20 koleksi (Hal. 1/2)
-
Modern Data Mining Algorithms in C++ and CUDA C Recent Developments in Feature Extraction and Selection Algorithms for Data Scienceserious data miners are often faced with thousands of candidate features for their prediction or classification application, with most of the features being of little or no value.…
-
TAXONOMY OF EDUCATIONAL OBJECTIVES The Classification of Educational Goals HANDBOOK II: AFFECTIVE DOMAINThis Handbook is modeled in format after Handbook I: Cogni tive Domain. The reader will find that Part I describes the nature of the affective domain and the classification stfl,l…
-
Text Mining Classification, Clustering, and ApplicationsRecent years have witnessed an immense growth in the amount of textual information available, both on the World Wide Web and in institutional document repositories. In this context…
-
Handbook of Research on Text and Web Mining TechnologiesIn the automated text classification, a bag-of-words representation followed by the tfidf weighting is the most popular approach to convert the textual documents into various numer…
-
Survey of Text Mining II Clustering, Classification, and RetrievalAs we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding information for jus…
-
Natural Language Processing and Text MiningText mining is the discovery and extraction of interesting, non-trivial knowledge from free or unstructured text. This encompasses everything from information retrieval (i.e., docu…
-
Natural Language Processing and Text MiningText mining is the discovery and extraction of interesting, non-trivial knowledge from free or unstructured text. This encompasses everything from information retrieval (i.e., docu…
-
Natural Language Processing and Text MiningText mining is the discovery and extraction of interesting, non-trivial knowledge from free or unstructured text. This encompasses everything from information retrieval (i.e., docu…
-
Survey of Text Mining Clustering, Classification, and Retrieval Scanned by VelocityThe vector space information retrieval system, originated by Gerard Salton [Sal71, SM83J, represents documents as vectors in a vector space. The document set comprises an m x n ter…
-
Cloud Computing and Software Services Theory and TechniquesThe goal of this chapter is to present an overview of three different structured views of the cloud computing landscape. These three views are the SPI cloud classification, the UCS…
-
Survey on Content-based Image Retrieval and Texture Analysis with ApplicationsContent-based image retrieval is a very important area of research nowadays. Content Based mage Retrieval (CBIR) is a technique which uses visual features of image such as color, s…
-
Skin Disease Classification by Extracting Independent ComponentsThis paper proposes an automated system based on texture analysis for recognizing human skin diseases. The spatial distributions of melanin and hemoglobin in human skin are separat…
-
Automated Diagnosis of Pigmented Skin Lesions Based on Texture CharacteristicsSkin cancer is the most common type of cancer and represents 50% all new cancer detected every year. Melanoma is the most dangerous, deadly form of Skin Cancer. About 65% of Melano…
-
Imbalanced classification with pythonClassification predictive modeling involves assigning a class label to an example. It may be one of the most studied and used areas of machine learning. Nevertheless, the majority…
-
A Multichannel Gray Level Co-Occurrence Matrix for Multi/Hyperspectral Image Texture RepresentationThis study proposes a novel method for multichannel image gray level co-occurrence matrix (GLCM) texture representation. It is well known that the standard procedure for the automa…