Results 1 - 10 of 117

Knowledge Discovery From Symbolic Data And The Sodas Software

by Edwin Diday - Conf. on Principles and Practice of Knowledge Discovery in Databases, PPKDD-2000 , 2000
"... The data descriptions of the units are called "symbolic" when they are more complex than the standard ones due to the fact that they contain internal variation and are structured. Symbolic data happen from many sources, for instance in order to summarise huge Relational Data Bases by t ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
by their underlying concepts. "Extracting knowledge" means getting explanatory results, that why, "symbolic objects" are introduced and studied in this paper. They model concepts and constitute an explanatory output for data analysis. Moreover they can be used in order to define queries of a

Information Retrieval and Knowledge Discovery with FCART

by A. A. Neznanov, S. O. Kuznetsov
"... Abstract. We describe FCART software system, a universal integrated environment for knowledge and data engineers with a set of research tools based on Formal Concept Analysis. The system is intended for knowledge discovery from big dynamic data collections, including text collections. FCART allows t ..."
Abstract - Add to MetaCart
Abstract. We describe FCART software system, a universal integrated environment for knowledge and data engineers with a set of research tools based on Formal Concept Analysis. The system is intended for knowledge discovery from big dynamic data collections, including text collections. FCART allows

Needs Assessment for the Design of Information Synthesis Visual Analytics Tools

by Anthony C. Robinson
"... Information synthesis is a key portion of the analysis process with visual analytics tools. This stage of work requires users to collect, organize, and add meaning to individual analytical results. This paper reports the results of a needs assessment study with technical and bio/chemical security an ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
Information synthesis is a key portion of the analysis process with visual analytics tools. This stage of work requires users to collect, organize, and add meaning to individual analytical results. This paper reports the results of a needs assessment study with technical and bio/chemical security

A Data Mining Method to Support Decision Making in Software Development Projects

by JL Alvarez, J. Mata, JC Riquelme, J. C. Riquelme, I Ramos , 2003
"... In this paper, we present a strategy to induce knowledge as support decision making in Software Development Projects (SDP). The motive of this work is to reduce the great quantity of SDP do not meet the initial cost requirements, delivery date and the quality of the final product. The main objecti ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
In this paper, we present a strategy to induce knowledge as support decision making in Software Development Projects (SDP). The motive of this work is to reduce the great quantity of SDP do not meet the initial cost requirements, delivery date and the quality of the final product. The main

Software reverse engineering as a sensemaking task (in press).

by A R Bryant , R F Mills , G L Peterson , M R Grimaila , Adam R Bryant , Robert F Mills , Gilbert L Peterson , Michael R Grimaila - Journal of Information Assurance and Security. , 2012
"... Abstract: Software reverse engineering involves analyzing computer program executables to understand their structure, functionality, and behavior. In this paper, common reverse engineering functions are decomposed to isolate the information-processing and sensemaking subtasks involved. This paper r ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
understanding, sensemaking, situation awareness, knowledge engineering I. Introduction Software reverse engineering is a type of complex task which at the surface involves many common features with the cognitive processes of sensemaking and situation awareness. In particular, reverse engineering an executable

Industrial and Government Applications Track Poster A Component-based Framework for Knowledge Discovery

by In Bioinformatics, Julien Etienne
"... Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based development can significantly enhance reusability and productivity for short timeline projects with a small team. We present ..."
Abstract - Add to MetaCart
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based development can significantly enhance reusability and productivity for short timeline projects with a small team. We present

Visualization as Integration of Heterogeneous Processes

by Xiaoyu Wang A, Wenwen Dou A, William Ribarksy A, Remco Chang A
"... In the information age today, we are experiencing an explosion of data and information from a variety of sources unlike anything that the world has seen before. While technology has advanced to keep up with the collection and storage of data, what we lack now is the ability to analyze and understand ..."
Abstract - Add to MetaCart
sources of data, a new paradigm is required. In this paper, we present a framework of using visual analytical approaches to integrate multiple heterogeneous processes that can each analyze a specific type of data. Under this framework, stand-alone software solutions can focus on specific aspects

The process chain for peptidomic biomarker discovery. Dis

by Michael Schrader , Hartmut Selle - Markers , 2006
"... Abstract. Over the last few years the interest in diagnostic markers for specific diseases has increased continuously. It is expected that they not only improve a patient's medical treatment but also contribute to accelerating the process of drug development. This demand for new biomarkers is ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Background and hypothesis Biomarker development and application require a multidisciplinary approach. Teams with very different skills and competences are needed for success To start a pepdidomics-based discovery project aiming at new biomarkers possible hypotheses about the involvement of peptides have

Building Knowledge Scouts Using KGL Metalanguage

by Ryszard S. Michalski, Kenneth A. Kaufman - Fundamenta Informaticae , 2000
"... Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge generation metalanguage, KGL, is used to creating scripts defining such knowledge scouts. Knowledge scouts operate in an ..."
Abstract - Cited by 9 (7 self) - Add to MetaCart
Youth Survey database. The preliminary results indicate a high potential utility of the presented methodology as a tool for deriving knowledge from databases. Keywords: data mining, knowledge discovery, knowledge scouts, inductive databases, knowledge visualization, knowledge generation language

Visualizing Big Data Mining: Challenges, Problems and Opportunities

by unknown authors
"... Abstract: — Big Data is fast becoming a big problem since last year. Big data refers to datasets which has large size and complexity. We can’t capture, store, manage and analyze with typical database software tools. Data mining is highlighted buzzword that is used to describe the range of Big data ..."
Abstract - Add to MetaCart
opportunities. During discussion we include platform and framework for managing and processing large data sets. We also discuss the knowledge discovery process, data mining, and various open source tools with current condition, issues and forecast to the future.
Results 1 - 10 of 117