difference between data information and knowledge ppt
Advanced Information and Knowledge Processing ppt
Ngày tải lên :
29/03/2014, 11:20
... improve communication, understanding, and man-
agement of medical knowledge and data. It is a multi-disciplinary science
at the junction of medicine, mathematics, logic, and information technology,
which ... of
Infection,andPathogens 454
15.3.1 PatientExample(Part1) 454
15.3.2 Fusion of Data and Knowledge for Calculation of
Probabilities for Sepsis and Pathogens 456
15.4 CalculationofCoverage and TreatmentAdvice ... 461
15.4.1 PatientExample(Part2) 461
15.4.2 Fusion of Data and Knowledge for Calculation of
CoverageandTreatmentAdvice 466
15.5 Calibration Databases 467
15.6 ClinicalTesting ofDecision-supportSystems...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 2 pptx
Ngày tải lên :
04/07/2014, 05:21
... Multimedia Data Mining
58 Data Mining in Medicine
Nada Lavra
ˇ
c, Bla
ˇ
z Zupan 1111
59 Learning Information Patterns in Biological Databases - Stochastic
Data Mining
Gautam B. Singh 1137
60 Data Mining ... Rokach 959
51 Data Mining using Decomposition Methods
Lior Rokach, Oded Maimon 981
52 Information Fusion - Methods and Aggregation Operators
Vicenc¸ Torra 999
53 Parallel And Grid-Based Data Mining ... 759
40 Mining Concept-Drifting Data Streams
Haixun Wang, Philip S. Yu, Jiawei Han 789
41 Mining High-Dimensional Data
Wei Wang, Jiong Yang 803
42 Text Mining and Information Extraction
Moty Ben-Dov,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 3 pptx
Ngày tải lên :
04/07/2014, 05:21
... understanding phenomena from the data, analysis
and prediction.
The accessibility and abundance of data today makes Knowledge Discovery and
Data Mining a matter of considerable importance and necessity. ... Process of Knowledge Discovery in Databases.
be determined. This includes finding out what data is available, obtaining
additional necessary data, and then integrating all the data for the knowledge
discovery ... the
interactive and iterative aspect of the KDD is taking place. It starts with the
best available data set and later expands and observes the effect in terms of
knowledge discovery and modeling.
3....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 5 pptx
Ngày tải lên :
04/07/2014, 05:21
... analyze, and investigate such very large data sets has
given rise to the fields of Data Mining (DM) and data warehousing (DW). Without
clean and correct data the usefulness of Data Mining and data ... examining
databases, detecting missing and incorrect data, and correcting errors. Other recent
work relating to data cleansing includes (Bochicchio and Longo, 2003, Li and Fang,
1989).
Data Mining ... areas
that include data cleansing as part of their defining processes are: data warehousing,
knowledge discovery in databases, and data/ information quality management (e.g.,
Total Data Quality Management...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 6 ppt
Ngày tải lên :
04/07/2014, 05:21
... Data Warehousing
and Knowledge Discovery; 2002 September 04-06; 170-180.
Hernandez, M. & Stolfo, S. Real-world Data is Dirty: Data Cleansing and The Merge/Purge
Problem, Data Mining and Knowledge ... Methods, Data Mining and Knowledge Discov-
ery Handbook, Springer, pp. 321-352.
Simoudis, E., Livezey, B., & Kerber, R., Using Recon for Data Cleaning. In Advances in
Knowledge Discovery and Data ... France. 464-467.
Brachman, R. J., Anand, T., The Process of Knowledge Discovery in Databases — A
Human–Centered Approach. In Advances in Knowledge Discovery and Data Min-
ing, Fayyad, U. M., Piatetsky-Shapiro,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 10 ppt
Ngày tải lên :
04/07/2014, 05:21
... (Silva and Tenenbaum, 2002). Landmark Isomap simply employs land-
mark MDS (Silva and Tenenbaum, 2002) to addresses this problem, computing all
distances as geodesic distances to the landmarks. ... clustering and Laplacian eigen-
maps are local (for example, LLE attempts to preserve local translations, rotations
and scalings of the data) . Landmark Isomap is still global in this sense, but the land-
mark ... Let’s start by defining a simple mapping from a dataset to an undirected
graph G by forming a one-to-one correspondence between nodes in the graph and
data points. If two nodes i, j are connected...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 20 ppt
Ngày tải lên :
04/07/2014, 05:21
... for Data
Mining, Proc. 22nd Int. Conf. Very Large Databases, T. M. Vijayaraman and Alejandro
P. Buchmann and C. Mohan and Nandlal L. Sarda (eds), 544-555, Morgan Kaufmann,
1996.
Sklansky, J. and ... Tree
Construction of Large Datasets ,Data Mining and Knowledge Discovery, 4, 2/3) 127-162,
2000.
Gelfand S. B., Ravishankar C. S., and Delp E. J., An iterative growing and pruning algo-
rithm for ... 2005b, pp 131–158.
Rokach, L. and Maimon, O., Clustering methods, Data Mining and Knowledge Discovery
Handbook, pp. 321–352, 2005, Springer.
Rokach, L. and Maimon, O., Data mining for improving the...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 24 ppt
Ngày tải lên :
04/07/2014, 05:21
... increases, the space that needs to be filled
with data goes up as a power function. So, the demand for data increases rapidly, and
the risk is that the data will be far too sparse to get a meaningful ... almost as many definitions of Data Mining as there are treatises on the sub-
ject (Sutton and Barto, 1999, Cristianini and Shawe-Taylor, 2000, Witten and Frank,
2000,Hand et al., 2001,Hastie et ... 2001b,Dasu and Johnson, 2003),
and associated with Data Mining are a variety of names: statistical learning, machine
learning, reinforcement learning, algorithmic modeling and others. By Data Min-
ing”...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 25 pptx
Ngày tải lên :
04/07/2014, 05:21
... partition.
The data are first segmented left from right and then for the two resulting par-
titions, the data are further segmented separately into an upper and lower part. The
upper left partition and the ... key
distinction between the more effective and the less effective Data Mining procedures
is how overfitting is handled. Finding new and improved ways to fit data is often
quite easy. Finding ways to ... (e.g., 5).
“Random forests” is one powerful approach exploiting these ideas. It builds on
CART, and will generally fit the data better than standard regression models or CART
13
“Bagging” stands for...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 38 pptx
Ngày tải lên :
04/07/2014, 05:21
... type of data is often referred to as relational data.
This is as opposed to attribute vector data used by many other unsupervised and
supervised Data Mining techniques. In most standard Data Mining ... (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed.,
DOI 10.1007/978-0-387-09823-4_18, © Springer Science+Business Media, LLC 2010
17 Constraint-based Data Mining 353
F. Bonchi and C. ... sets and condensed representations.
In Proc. KDD’96, pages 189–194. AAAI Press, 1996.
H. Mannila and H. Toivonen. Levelwise search and borders of theories in knowledge discov-
ery. Data Mining and...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 61 pptx
Ngày tải lên :
04/07/2014, 05:21
... we
keep the minimum distance between clusters, defined by the distance between two points P
1
and P
2
, such that P
1
belongs to the first cluster and P
2
to the second, and P
1
and P
2
are the
closest ... show experimental results of running time and cluster quality using a
range of data sets of increasing sizes and a high-dimensional data set.
First, we use data sets whose distribution follows the ... Bradley, U. Fayyad, and C. Reina. Scaling Clustering Algorithms to Large Databases
(Extended Abstract). In Proceedings of the ACM SIGMOD Workshop on Research Issues
in Data Mining and Knowledge Discovery,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 65 ppt
Ngày tải lên :
04/07/2014, 05:21
... measure the degree of similarity between C
and P:
1. Rand Statistic: R =(a + d)/M
2. Jaccard Coefficient: J = a/(a+ b + c) The above two indices range between 0 and 1, and
are maximized when m=s. Another ... left hand side and right hand side of this rule and thus it
can be considered as a representative rule of our data set. Moreover! confidence expresses our
confidence based on the available data ... association rules’ importance and confidence.
They may represent the predictive advantage of a rule and help to identify interesting patterns
of knowledge in data and make decisions. Below we shall...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 70 ppt
Ngày tải lên :
04/07/2014, 05:21
... an evaluation data set.
A different line of attacking the multi-label feature selection problem is to transform the
multi-label data set into one or more single-label data sets and use existing ... for single-label data, such as linear discriminant
analysis (LDA), require modification prior to their application to multi-label data. LDA has
been modified to handle multi-label data in (Park & ... each equal to the difference between the initial
instance and one of the prototype vectors. A two level classification strategy is then employed
to learn form the transformed data set.
34.2.2 Algorithm...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 74 pptx
Ngày tải lên :
04/07/2014, 05:21
... Identities in Microdata Release, IEEE Trans. on
Knowledge and Data Engineering, 13:6 1010-1027.
Samarati, P., Sweeney, L. (1998) Protecting privacy when disclosing information: k-
anonymity and its enforcement ... K., Kargupta, H., Ryan, J. (2006) Random projection based multiplicative data pertur-
bation for privacy preserving data mining, IEEE Trans. on Knowledge and Data Engi-
neering 18:1 92-106.
Machanavajjhala, ... (2005) Probabilistic information loss mea-
sures in confidentiality protection of continuous microdata, Data Mining and Knowledge
Discovery, 11:2 181-193.
Moore, R. (1996) Controlled data swapping techniques...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 76 pptx
Ngày tải lên :
04/07/2014, 05:21
... Metrics for Evaluation of
Data- mining Algorithms. In Proceedings of the Third International Conference on
Knowledge Discovery and Data- Mining, 1997.
Paterson, I. New Models for Data Envelopment Analysis, ... P
S
(I(S)(x)
|
x) and P(y
|
x).
Heskes (1998) adopts the natural variance term var
C
and, ignoring the residual er-
ror, defines bias as the difference between the mean misclassification error and his
variance. ... b and minimizing squared error on
the learning set, we obtain the estimations given in the left part of Figure 39.1 for two
O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook,...
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