Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases that cover the large and growing number of distinct shoe models. Additionally, existing methods for matching crime-scene shoeprints to reference databases…

The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…

Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

This dissertation studies information extraction (IE), the problem of extracting structured information from unstructured data. Example IE tasks include extracting person names from news articles, product information from e-commerce Web pages, street addresses from emails, and names of emerging music bands from blogs. IE is all increasingly…

A subset of data base management techniques for the hardware/software functions necessary to support a management information system are discussed. Seven basic dimensions of data base design are: (1) data base life span, (2) logical record growth, (3) record content growth, (4) data set organization, (5) linkages, (6) design criteria and (7)…

The trend to distributed processing is being fueled by numerous forces, including advances in technology, corporate downsizing, increasing user sophistication, and acquisitions and mergers. Increasingly, the trend in corporate information systems (IS) departments is toward sharing resources over a network of multiple types of processors, operating…

One hundred and fifty bibliographic entries, dealing with the subject of management information systems, are divided into sections for books and for periodicals. The latter section is further subdivided according to years of publication, although no attempt has been made to gather articles that appeared prior to 1969. (WM)

This paper addresses the problem of data management techniques for efficiently retrieving requested subsets of large data sets from mass storage devices. Describes the development of algorithms and software that facilitate the partitioning of a large data set into multiple "clusters" that reflect their expected access. (Author/JKP)

The report is presented in two parts. The first examines the social and technical implications of information systems vis a vis the individual's ability to control the dissemination of information about himself. It is argued that information systems must incorporate certain properties in their initial design in order to safeguard man's…

General Information Storage, Retrieval, and Application System (GENIRAS) is a computer-aided information system designed for the storage, retrieval, and manipulation of data files. The system gives the user (1) flexibility in defining and using data bases, (2) a wide range of procedures to be applied to the data, and (3) a variety of acceptable…

Discusses various categories of software that can be applied to the development of in-house databases on microcomputers, and describes the use of a general purpose package with a procedural language to design a small indexing system called Revelation. The description covers data storage and maintenance, database design, file searching, and system…