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[PDF] Top 20 Discovering Novelty in Gene Data : From Sequential Patterns to Visualization

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Discovering Novelty in Gene Data : From Sequential Patterns to Visualization

Discovering Novelty in Gene Data : From Sequential Patterns to Visualization

... Abstract. Data mining techniques allow users to discover novelty in huge amounts of ...proved to be effi- cient, but the extracted patterns are often too numerous and thus diffi- ... Voir le document complet

11

Discovering linguistic patterns using sequence mining

Discovering linguistic patterns using sequence mining

... some sequential patterns extracted from the corpus may suggest non relevant ...Thanks to the hierarchical navigation proposed in the process by using the Camelis tool, such noisy ... Voir le document complet

13

Discovering Patterns in Time-Varying Graphs: A Triclustering Approach

Discovering Patterns in Time-Varying Graphs: A Triclustering Approach

... technique to track structures in time varying ...time, to the data under study, in a way that does not require any hyper- parameter ...segmented in order to build clusters ... Voir le document complet

28

Visualization of data structure, domain knowledge and data mining results: application to breast cancer gene expressions

Visualization of data structure, domain knowledge and data mining results: application to breast cancer gene expressions

... other data mining ...set to the number of features of the data objects, and the number of neurons in the output layer to be the number of pattern ...neurons in the last hidden ... Voir le document complet

14

Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease

Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease

... Our contribution is three-fold: i We first help biologists select relevant sequences according to a specific topic and then to identify both popular genes often available in the literatu[r] ... Voir le document complet

7

Novelty detection on graph structured data to detect network intrusions

Novelty detection on graph structured data to detect network intrusions

... choose to use the CICIDS2018 dataset that is made of ten pcap encompassing millions of ...The data set is also labeled, allowing us to quantify the effectiveness of our ...method. To generate ... Voir le document complet

9

A Unified Approach To Collaborative Data Visualization

A Unified Approach To Collaborative Data Visualization

... suggested in [20] is ˆ r ui = µ + b u + b i − kp u − q i k 2 , where µ is the average rating of the dataset and b u and b i are user and item dependant vari- ables ...items to lie closer to a user ... Voir le document complet

8

Mining Heterogeneous Multidimensional Sequential Patterns

Mining Heterogeneous Multidimensional Sequential Patterns

... article from the fruit category from supermarket A, a customer will buy two articles from the Egg and Dairy products and Beverage categories from supermarket ...them in a different way ... Voir le document complet

29

Analytics of Sequential Time Data from Physical Assets

Analytics of Sequential Time Data from Physical Assets

... Submitted to Neurocomputing Journal on 1 st of Mar ...the data collected from several types of sensors that continuously record different indicators about a working asset, such as vibration intensity ... Voir le document complet

143

Data visualization in the first person

Data visualization in the first person

... This visualization shows two very different data- sets, explains what each dataset represents, how they are connected, and a few of the inferences that might be drawn from [r] ... Voir le document complet

107

Mining Unexpected Sequential Patterns and Rules

Mining Unexpected Sequential Patterns and Rules

... errors in data. Based on the proposition of [3], in the most recent approach to unexpected association rule mining presented by [4], a belief is represented as a rule with the form X → Y , and ... Voir le document complet

15

From scientific workflow patterns to 5-star linked open data

From scientific workflow patterns to 5-star linked open data

... biological data, es- pecially in the field of ...led to an unprecedented growth of sequenced human genomes. The number of data has been doubled every 7 months (Stephens et ...processed ... Voir le document complet

6

A Multi-strategy approach to informative gene identification from gene expression data

A Multi-strategy approach to informative gene identification from gene expression data

... us to identify many important genes that would have otherwise been ...shown to be involved in a chromosomal aberration that may be a cause of the acute T-cell lymphoblastic leukemia ...30 In ... Voir le document complet

19

Mining Object Movement Patterns from Trajectory Data

Mining Object Movement Patterns from Trajectory Data

... Deaths from this disease increased throughout the years without any end in ...lar to HIV-1, but precision concerning clinical outcomes of HIV-2 infected individuals are ...conducted in women ... Voir le document complet

180

Modeling and Visualization of Flower Color Patterns

Modeling and Visualization of Flower Color Patterns

... color patterns, exhibiting various pigmentation and tissue structure influence, are among the most beautiful figures in the natural ...these patterns has been proved to be an interesting and ... Voir le document complet

7

2015 — Design study of MovementSlicer : an interactive visualization of patterns and group meetings in 2D movement data

2015 — Design study of MovementSlicer : an interactive visualization of patterns and group meetings in 2D movement data

... designed visualization. Munzner (2009) defines a nested model for visualization design and ...definitions, data abstraction design, encoding visualization design, and algorithm ...output ... Voir le document complet

71

Mining Unexpected Sequential Patterns and Implication Rules

Mining Unexpected Sequential Patterns and Implication Rules

... WORK In this chapter, we propose a subjective measure for sequence data ...for data mining, which are classified into two categories: the objective measures based on the statistical frequency or ... Voir le document complet

21

Possibility spaces and the notion of novelty: from music to biology

Possibility spaces and the notion of novelty: from music to biology

... mentioned in the previous section, novelties in the sense of a single symmetry breaking are limited by the fact that they have no lasting impact beyond the main- taining of the novelty itself (that ... Voir le document complet

17

Emergence patterns of novelty in European vegetation assemblages over the past 15 000 years

Emergence patterns of novelty in European vegetation assemblages over the past 15 000 years

... centennial to millennial ...feature in a world of con- tinual environmental flux (Jackson & Overpeck 2000) and palaeoenvironmental databases (Brewer et ...late-glacial to early-Holocene climatic ... Voir le document complet

12

Overview of Data Visualization

Overview of Data Visualization

... INSOME DATA V ISULAIZATION TOOLS d. Network data (graph): Graphs and networks visualization is an important part of data visualization because it is used in many applications ... Voir le document complet

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