Temporal mining

Ebook "Methods of microarray data analysis V" provides readers with contents including: data mining of malaria parasite gene expression for possible translational research; constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle; simple methods for peak and valley detection in time series microarray data;...

186p tachieuhoa 28-01-2024 5 2   Download

Ebook "Data mining - Introductory and advanced topics" includes content: Introduction, related concepts, data mining techniques, classification, clustering, association rules, web mining, temporal mining, spatial mining.

156p haojiubujain07 20-09-2023 9 4   Download

Changes in surface water might result in natural disasters such as floods, water shortages, landslides, waterborne diseases, which lead to loss of lives. Timely extracting for surface water and predicting its movement is essential for planning activities and decision-making processes.

18p vimulcahy 18-09-2023 7 3   Download

This study introduces a temporal condition pattern mining methodology to address the sparse nature of coded condition concept utilization in electronic health record data. As a validation study, we applied this method to reveal condition patterns surrounding an initial diagnosis of pediatric asthma.

9p vighostrider 25-05-2023 4 3   Download

The circumstances of an accident vary in their frequency over time and depend on the local conditions at the accident site. An evaluation under geographical and temporal aspects is therefore necessary.

22p redemption 20-12-2021 21 0   Download

The objective of the thesis: Mining association rules with time-interval between events in temporal quantitative databases called fuzzy time-interval association rules; mining sequential patterns with time-interval between events in temporal quantitative sequential databases called fuzzy sequential patterns with fuzzy time intervals; mining common sequential rules with time-interval between events in temporal quantitative sequential databases called fuzzy common sequential rules with fuzzy time intervals.

27p beloveinhouse01 15-08-2021 9 4   Download

In particular, heavy polluted streams flow through apatite mining areas such as Ngoi Duong, Ngoi Dum and Chu O. The results of PCA show changes in the distribution of environmental quality parameters in major components by years.In particular, the parameters that contain high information values include COD, BOD5¸ N

9p cothumenhmong9 12-01-2021 12 2   Download

Frequent pattern mining analysis applied on microarray dataset appears to be a promising strategy for identifying relationships between gene expression levels. Unfortunately, too many itemsets (co-expressed genes) are identified by this analysis method since it does not consider the importance of each gene within biological processes to a cellular response and does not take into account temporal properties under biological treatmentcontrol matched conditions in a microarray dataset.

13p viwyoming2711 16-12-2020 11 0   Download

. In this paper, we propose a grid-based approach as well as an algorithm to guarantee k-anonymity, a well-known privacy protection approach, in a location database. To do this, we assume that the service server will provide services but in a defined area and the grid will cover the area in which the service server takes effect, Then, the user's location will be hidden in an anonymization area. The anonymization area will be chosen by cells that forms a rectangle area so that this area contains at least k distinct users.

13p trinhthamhodang9 04-12-2020 10 2   Download

Pharmacological treatment of complex diseases using more than two drugs is commonplace in the clinic due to better efficacy, decreased toxicity and reduced risk for developing resistance. However, many of these higher-order treatments have not undergone any detailed preceding in vitro evaluation that could support their therapeutic potential and reveal disease related insights.

20p vijisoo2711 27-10-2020 17 2   Download

Workflow management systems help to execute, monitor and manage work process flow and execution. These systems, as they are executing, keep a record of who does what and when (e.g. log of events). The activity of using computer software to examine these records, and deriving various structural data results is called workflow mining.

26p caygaocaolon1 12-11-2019 21 1   Download

The growth of social media sites, such as Twitter, which can provide a visual record of the daily interests and concerns of people in the form of their tweets and tweeting behaviors, has led to an increasing demand among enterprise users, to be able to identify those users who are interested in the services and products that these enterprises offer.

14p vithanos2711 09-08-2019 14 1   Download

In order to make the most of time series present in many various application domains such as finance, medicine, geology, meteorology, etc., mining time series is performed for useful information and hidden knowledge. Discovered knowledge is very significant to help users such as data analysts and managers get fascinating insights into important temporal relationships of objects/phenomena along time.

20p vixyliton2711 17-04-2019 19 1   Download

ITARM - Incremental Temporal Association Rules Mining dựa trên nền của thuật toán Sliding-Window Filtering, duy trì những tập tập phổ biến sau khi dữ liệu đã được cập nhật. Cùng tìm hiểu thuật toán này qua bài tiểu luận Thuật toán hiệu quả trong việc khai thác những luật kết hợp thời gian - ITARM.

20p wave_12 05-04-2014 71 7   Download

Syntactic knowledge is important for discourse relation recognition. Yet only heuristically selected flat paths and 2-level production rules have been used to incorporate such information so far. In this paper we propose using tree kernel based approach to automatically mine the syntactic information from the parse trees for discourse analysis, applying kernel function to the tree structures directly.

10p hongdo_1 12-04-2013 35 1   Download

Mining retrospective events from text streams has been an important research topic. Classic text representation model (i.e., vector space model) cannot model temporal aspects of documents. To address it, we proposed a novel burst-based text representation model, denoted as BurstVSM. BurstVSM corresponds dimensions to bursty features instead of terms, which can capture semantic and temporal information.

5p nghetay_1 07-04-2013 40 1   Download

In some event detection applications, events of interest occur over a relatively small proportion of the total time: e.g. alarm generation in surveillance systems, and extrac- tive summarization of raw video events. The automatic de- tection of temporal events that are relevant, but whose oc- currence rate is either expected to be very low or cannot be anticipated at all, constitutes a problem which has recently attracted attention in computer vision and multimodal pro- cessing under an umbrella of names (abnormal, unusual, or rare events) [17, 19, 6].

15p nhacsihuytuan 06-04-2013 58 2   Download

To effectively perform data mining, however, we cannot naively consider all candidate instantiations, since the number of such instantiations is exponential in the number of variables. We provide algorithms and heuristics that ex- ploit the granularity system and the given constraints to reduce the hypothesis space for the pattern matching task. The global approach offers an effective procedure to dis- cover patterns of events that occur frequently in a sequence satisfying specific temporal relationships.

6p giamdocamnhac 06-04-2013 52 5   Download

In this paper, we focus our attention on providing a formal framework for expressing data mining tasks in- volving time granularities, and on proposing efficient algo- rithms for performing such tasks. To this end, we introduce the notion of an event structure. An event structure is essen- tially a set of temporal constraints on a set of variables representing events. Each constraint bounds the distance between a pair of events in terms of a time granularity.

29p giamdocamnhac 06-04-2013 130 6   Download

The biological sciences have become more quantitative and information-driven since emerging computational and mathematical tools facilitate collection and analysis of vast amounts of biological data. Complexity analysis of biological systems provides biological knowledge for the organization, management, and mining of biological data by using advanced computational tools. The biological data are inherently complex, nonuniform, and collected at multiple temporal and spatial scales.

316p chuyenphimbuon 21-07-2012 60 13   Download