• No results found

Index of /SISTA/frizo

N/A
N/A
Protected

Academic year: 2021

Share "Index of /SISTA/frizo"

Copied!
44
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

1/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

•Overview of the presentation

•NADRUK OP WAT JE VERWEZENLIJKT HEBT!

•Waarom was dat noodzakelijk?

•Drie belangrijkste dingen

•graph world: collab networks (bioi author collab; de moor?; Intl), www, citation nws, co-citatie/BC network (say:email comm)

•small worlds, scale-free, hub phenomena

•HITS

•Pagerank

•vector space model

•bibliometric retrieval, growth of bioi

•clustering, features:selection/construction; similarity; features based on text, based on citations, based on combination

• / van features-by-objects naar clusters

• / spy of a matrix, strehl!

• / p. 40 pat!

• / filmpje van hierarchical clustering??

•hierarchical clustering, dendrogram

•Determining number of clusters, silhouette coefficients

•Determining number of clusters, stability

•classification?

•Co-word analysis

•Dimensionality reduction and semantics, Curse of dimensionality

• Latent Semantic Indexing

• Ranom Indexing?

• multidimensional scaling: LIS

•integratie, hybrid analysis, FUSION

• serializing text mining and bibliometrics

• serializing text mining and bibliometrics

• Integrating lexical and bibliometric information . . . 56

• 6.3.1 Weighted linear combination of distance matrices . . . 58

• 6.3.2 Fisher’s inverse chi-square method . . . 60

• 6.3.2 Fisher’s inverse chi-square method . . . 60 randomizatie?

• 6.3.2 Fisher’s inverse chi-square method . . . 60

• Assessing the performance of various integration schemes for text & link information

• Assessing the performance of various integration schemes for text & link information

• Assessing the performance of various integration schemes for text & link information

• Assessing the performance of various integration schemes for text & link information

• 6.3.3 Integrated Random Indexing

•Application: A hybrid mapping of library and information science: werkt het beter?

•hybrid clustering of bioi

•naive dynamics

•dynamic hybrid clustering of bioi

•Cluster chain term networks

•Cluster chain dynamics

(2)

2/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(3)

3/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

Text World

Types..

Figuren van papers, email, website, boeken,

General overiew of the text mining framework (zoals LIS2 papers,

maar dan algemener) (p16 pat)

(4)

4/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

Graph world

(5)

5/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(6)

6/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(7)

7/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(8)

8/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(9)

9/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(10)

10/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(11)

11/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(12)

12/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(13)

13/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(14)

14/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(15)

15/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(16)

16/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(17)

17/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(18)

18/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(19)

19/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(20)

20/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(21)

21/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(22)

22/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(23)

23/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(24)

24/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(25)

25/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(26)

26/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(27)

27/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(28)

28/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(29)

29/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(30)

30/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(31)

31/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(32)

32/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(33)

33/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(34)

34/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(35)

35/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(36)

36/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(37)

37/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(38)

38/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(39)

39/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(40)

40/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(41)

41/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(42)

42/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

(43)

43/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

Further research

(44)

44/45 Introduction Collaboration Integrating text & citations Hybrid clustering Dynamic hybrid clustering

acknowledgements

Referenties

GERELATEERDE DOCUMENTEN

3.1 Definition Clustering ensemble, also known as clustering aggregation or consensus clustering, combines different clustering partitions into a consolidated parti- tion.

Given that the performance of unsupervised clustering and classification of scientific publications is significantly im- proved by deeply merging textual contents with the struc-

A closer look at the best TF-IDF terms reveals that social sciences cluster (#1 of the 3-cluster solution) is split into the cluster #1 (economics, business and political science) and

Evaluation of the hybrid clustering solution with 22 clusters by citation based Silhouette plot (left), text based Silhouette plot (centre) and the plot with Silhouette values based

Author: Runtuwene, Vincent Jimmy Title: Functional characterization of protein-tyrosine phosphatases in zebrafish development using image analysis Date: 2012-09-12...

[r]

van de Title: The role of quiescent and cycling stem cells in the development of skin cancer Issue

Augustine 1995, Bertram and Wentworth 1996, Goossens, Mittelbach, and Samarin 1994.. Online