This article presents Python codes that can be used to extract data from Securities and Exchange Commission (SEC) filings. The Python program web crawls to obtain URL paths for company filings of required reports, such as Form 10-K. The program then performs a textual analysis and counts the number of occurrences of words in the filing that…

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…

Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel's data mining add-ins as a front-end to Microsoft's Cloud Computing and SQL Server 2008 Business…

Describes the theoretical framework of a retrieval system that uses data structures called bitmaps to improve search algorithms for medium-sized systems. Information retrieval systems that contain the full text of the documents are discussed, and the use of inverted files such as concordances for small texts is explained. (24 references) (LRW)

Ways in which the National Library of Medicine's online data file of audiovisual instructional materials (AVLINE) can be searched are described. The search approaches were developed with the assistance of data analysts at NLM trained in reference services. AVLINE design, search strategies, and acquisition of the materials are reported. (LBH)

Discussion of student advising highlights the development of a personalized electronic advising system (EAS) to supplement the university calendar. Word processing programs that are used as the basis for the EAS are discussed, the inclusion of student records is described, and the ease with which information can be modified is emphasized. (LRW)

Methods to make computer searching as simple and efficient as possible have led to the development of various data structures. Data structures specify the items involved in searching and what can be done to them. The nature and advantages of using "self-adjusting" data structures (self-adjusting binary search trees) are discussed. (JN)

Review of office filing facility filing and retrieval mechanisms for unstructured and mixed media information focuses on free text methods. Also discussed are the state of the art in handling voice and image data, problems with searching text surrogates to implement free text content retrieval, and work of Project Minstrel. (Author/MBR)

Reports on the design and use of a computer system designed to assist online database searchers in determining the relevance of downloaded abstracts. The system, which runs on a personal computer, includes aids for individual review of abstracts and semiautomatic determination of relevance; prospects for fully automatic use are discussed. (CDD)

Discusses a method for organizing and augmenting the data in a complex database to make automatic retrieval possible. Presents an example of the method using a database of information on the nature and use of fungicides. Initial results of trials with potential users suggest that the system can produce relevant responses to queries. (Author/AEF)

This composite report provides summaries of presentations by 10 experts at the 23rd Annual Clinic on Library Applications of Data Processing in April 1986 at the University of Illinois at Urbana-Champaign. All were concerned with the design of online systems to make them easier for library patrons to use. (Author/CDD)