Knowledge discovery from data

"Mobility, data mining & privacy: Geographic knowledge discovery" is aimed at shaping up this frontier of research, from a computer science perspective: we investigate the various scientific and technological achievements that are needed to face the challenge, and discuss the current state of the art, the open problems and the expected road-map of research.

412p zizaybay1103 29-05-2024 3 2   Download

This book "Data mining: Concepts and Techniques (Third edition)" is an extensive and detailed guide to the principal ideas, techniques and technologies of data mining. The book is organised in 13 substantial chapters, each of which is essentially standalone, but with useful references to the book’s coverage of underlying concepts. Please refer to the content of part 2 of book.

377p britaikridanik 05-07-2022 18 5   Download

This book "Data mining: Concepts and Techniques (Third edition)" is an extensive and detailed guide to the principal ideas, techniques and technologies of data mining. The book is organised in 13 substantial chapters, each of which is essentially standalone, but with useful references to the book’s coverage of underlying concepts. Please refer to the content of part 1 of book.

363p britaikridanik 05-07-2022 16 4   Download

Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to automatically summarize graphs of semantic predications produced from PubMed citations (titles and abstracts).

15p viwyoming2711 16-12-2020 11 0   Download

Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge.

10p viwyoming2711 16-12-2020 9 1   Download

Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.

17p vikentucky2711 26-11-2020 10 2   Download

Our study focuses on discovering gene regulatory networks from time series gene expression data using the Granger causality (GC) model. However, the number of available time points (T) usually is much smaller than the number of target genes (n) in biological datasets.

18p vikentucky2711 24-11-2020 12 2   Download

Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such methods mostly try to extract bioentity associations from PubMed, very few of them are dedicated in mining other types of repositories such as chemical databases.

9p vioklahoma2711 19-11-2020 16 3   Download

Microbial genomes at the National Center for Biotechnology Information (NCBI) represent a large collection of more than 35,000 assemblies. There are several complexities associated with the data: A great variation in sampling density since human pathogens are densely sampled while other bacteria are less represented; different protein families occur in annotations with different frequencies; and the quality of genome annotation varies greatly.

8p vioklahoma2711 19-11-2020 15 2   Download

This paper reports on a participatory action research study, which explores how ICT application adoption may be enhanced through ‘empathetic participatory design’ as a method for creating knowledge that may have meaningful application utility. This is achieved through user behavioural simulation. The main mode of data collection and analysis was the repertory grid technique used to elicit constructs from simulated prototyped elements of a selection of applications.

17p quenchua8 29-09-2020 17 0   Download

Cơ sở dữ liệu và khai phá dữ liệu là những hướng phát triển rất quan trọng trong lĩnh vực công nghệ thông tin (CNTT). Về thực chất dữ liệu đóng vai trò nền tảng nhất trong quá trình xử lí thông tin trên hệ thống máy tính. Lí thuyết cơ sở dữ liệu và việc ứng dụng lí thuyết này vào thực tiễn đã được phát triển và đạt được nhiều thành tựu ngay từ những năm 80 thế kỉ trước. Về bản chất lí thuyết cơ sở dữ liệu cung cấp cho chúng ta những tri thức quan trọng nhất liên quan đến vấn đề tổ chức, thiết kế và xây dựng các hệ thống quản trị cơ sở dữ liệu.

25p ketaucho 20-11-2019 69 7   Download

Mining the valuable knowledge from real data has been a hot topic for a long time. Repeating pattern is one of the important knowledge, occurring in many real applications such as musical data and medical data. In this paper, our purposes are to contribute an efficient mining algorithm for repeating patterns and to conduct a real application using the repeating patterns mined.

11p vithanos2711 09-08-2019 25 1   Download

In this paper we present a framework for text mining using descriptive phrase extraction. The framework follows the general knowledge discovery process, thus containing steps from preprocessing to the utilization of the results. We apply generalized episodes and episode rules data mining method.

6p byphasse043256 24-03-2019 16 0   Download

This book, with its 16 chapters, documents the present state of knowledge of the adenosine A3 receptor. It covers a wide range of information, including data from studies of theoretical, molecular and cellular pharmacology, signal transduction, integrative physiology, new drug discoveries and clinical applications. It fills an important gap in the literature since no alternative source of such information is currently available.

324p mnemosyne75 02-02-2013 44 8   Download

Data warehouses usually have some missing values due to unavailable data that affect the number and the quality of the generated rules. The missing values could affect the coverage percentage and number of reduces generated from a specific data set. Missing values lead to the difficulty of extracting useful information from data set. Association rule algorithms typically only identify patterns that occur in the original form throughout the database.

6p giacattan 05-01-2013 63 5   Download

Sensor networks and pervasive computing systems intimately combine computation, communication and interactions with the physical world, thus increasing the complexity of the development effort, violating communication protocol layering, and making traditional network diagnostics and debugging less effective at catching problems. Tighter coupling between communication, computation, and interaction with the physical world is likely to be an increasing trend in emerging edge networks and pervasive systems.

0p bachduong1311 12-12-2012 44 1   Download

Data Mining and Knowledge Discovery Handbook, 2 Edition part 129. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

10p pretty18 25-10-2010 34 3   Download

Data Mining and Knowledge Discovery Handbook, 2 Edition part 128. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

10p pretty18 25-10-2010 37 2   Download

Data Mining and Knowledge Discovery Handbook, 2 Edition part 127. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

10p pretty18 25-10-2010 41 3   Download

Data Mining and Knowledge Discovery Handbook, 2 Edition part 126. Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

10p pretty18 25-10-2010 40 2   Download