adaptive stream mining pattern learning and mining from evolving data streams
Báo cáo khoa học: "Learning from evolving data streams: online triage of bug reports" potx
Ngày tải lên :
24/03/2014, 03:20
... situation.
4.1 Progressive validation
When learning from data streams the standard
evaluation methodology where data is split into a
separate training and test set is not applicable. An
evaluation ... concept drift in data
streams and on the evaluation of learning under its
constraints. We also show that for evolving issue
tracker data, in a large majority of cases SGD Re-
gression handily outperforms ... pervasive
and serious in real bug report streams. We then
address this problem by leveraging state-of-the-
art online learning techniques which automati-
cally track the evolving data stream and incremen-
tally...
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Báo cáo khoa học: "CONTEXTUAL WORD SIMILARITY AND ESTIMATION FROM SPARSE DATA" ppt
Ngày tải lên :
08/03/2014, 07:20
... distributions of estimated fre-
quency values for
occurring
and
non-occurring
sets.
170
CONTEXTUAL WORD SIMILARITY AND ESTIMATION
FROM SPARSE DATA
Ido Dagan
ATãT Bell Laboratories
600 Mountain ... (Church and Hanks, 1990), machine transla-
tion (Brown et al., ; Sadler, 1989), information
retrieval (Maarek and Smadja, 1989) and various
disambiguation tasks (Dagan et al., 1991; Hindle
and ... for theories on generalization and anal-
ogy in linguistic data.
The literature suggests two major approaches
for solving the sparse data problem: smoothing
and class based methods. Smoothing...
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Báo cáo khoa học: "A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora" doc
Ngày tải lên :
24/03/2014, 03:20
... effective and scala-
ble mining method, called MINT (MIning
Named-entity Transliteration equivalents), for
mining of NETEs from large comparable corpo-
ra. MINT addresses several challenges in mining ...
11
1
11
,|,||
1
jajajj
A
m
j
nm
tstpsaapstP
jj
Here,
j
t
(and resp.
i
s
) denotes the j
th
(and resp.
i
th
) character in w
T
(and resp. w
S
) and
m
aA
1
is
the hidden alignment between w
T
and w
S
where
j
t
is aligned ... families (Hindi from the
Indo-Aryan family, Russian from the Slavic fam-
ily, Kannada and Tamil from the Dravidian fami-
ly). Note that none of the five languages use a
common script and hence identification...
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Generating test case from user interface and mining requirements
Ngày tải lên :
12/04/2014, 15:43
... Non-Empty Data field, string expected
3 Symbol Empty, Non-Empty Data field, string expected
4 Atomic number Invalid, Valid Data field, data typed > 0
5 Properties Empty, Non-Empty Data field, ... manually by
hand. One of the important works in the testing process is the creation of test case. To
solve this problem, we will build a tool from the method of generating test case from GUI
and requirement ... interface elements and then will
automatically generate the parameters and the value of the parameter, and is to appear on
the screen test. After receiving the parameters and values of each parameter,...
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Báo cáo khoa học: "Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations" doc
Ngày tải lên :
08/03/2014, 01:20
... selected the best paraphrase of
and from the following options:
CAUSAL and as a result, and as a consequence,
and enabled by that
NO-REL and independently, and for similar reasons
To build ... (R)ecall and (F1)-
measure. The null label is NO-REL.
train/test split from Table 1 and the feature sets:
Syntactic The syntactic features from Section 4.
Semantic The semantic features from Section ... 81.2% on
temporal relations and 77.8% on causal re-
lations. We trained machine learning mod-
els using features derived from WordNet and
the Google N-gram corpus, and they out-
performed a variety...
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Báo cáo khoa học: "Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web" pdf
Ngày tải lên :
23/03/2014, 16:21
... in-
formation from the Web and generates ranked
relational terms and surface patterns for each
concept pair.
ã Dependency Pattern Extractor generates
dependency patterns for each concept pair
from corresponding ... the
number of unique patterns is loose, but many pat-
terns are non-discriminative and correlated. A
salient challenge and research interest for frequent
pattern mining is abstraction away from different
surface ... clus-
tering approach based on combinations of
patterns: dependency patterns from depen-
dency analysis of texts in Wikipedia, and
surface patterns generated from highly re-
dundant information related...
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Researching Design Learning: Issues and Findings from Two Decades of Research and Development pot
Ngày tải lên :
24/03/2014, 02:20
... research learning curve, and
with our practitioner backgrounds, we explored a rich and scary terrain of
methodologies and techniques, led instinctively by our beliefs about
capability and learning, ... at any age – and the differences emerge
merely in the quality and depth of the outcomes from that activity and the
understandings that they demonstrate. This paradigm derives from a
philosophy ... allowed 1ẵ hours of activity, including using
Researching Design Learning
Issues and Findings from Two Decades
and
of Research and Development
RICHARD KIMBELL
KAY STABLES
Goldsmiths, University...
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Productivity in the Mining Industry: Measurement and Interpretation pptx
Ngày tải lên :
01/04/2014, 00:20
... Feasibility analysis
ã Mining services
companies
ã Mining companies
ã Mining (Services to
Mining)
Mine development
ã Acquire mining rights
ã Construct access
roads and
infrastructure ... plant and
equipment
ã Contractors
ã Mining companies
ã Construction (if
contracted)
ã Mining (if in-house)
Extraction
ã Remove deposit from
the ground
ã Mining companies ã Mining ...
involved and do not reflect
those of the
Productivity Commission.
UNDERSTANDING
PRODUCTIVITY IN
MINING
65
4 Understanding productivity in
mining: purchased inputs
Key points
ã Mining...
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investigative data mining for security and criminal detection 2003
Ngày tải lên :
04/06/2014, 13:16
... the
data mining analysis. In this chapter we will discuss the closed and open sources of data available
both online and offline and how to integrate and prepare the data prior to its analysis.
Data ... voicemail, and e-mail. Coupled with data mining techniques, this
expanded ability to access multiple and diverse databases will allow the expanded ability to predict
crime.
Security and risk involving ... potential data
sources for
enhancing the value of an investigative data mining analysis. Users of data mining tools and
techniques from industries in financial services, retailing, marketing, and...
- 479
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- 0
DATA MINING IN BANKING AND FINANCE: A NOTE FOR BANKERS pdf
Ngày tải lên :
20/06/2014, 14:20
... Chun, Se-Hak and Kim, Steven, Data mining or financial prediction and trading: application
to single and multiple markets (2003)
ã J. M. Zytkow and W. Klửsgen, Handbook of Data Mining and Knowledge ... portfolio risk to market and credit risk
Models through data mining
9
Data mining techniques are used to discover hidden knowledge, unknown patterns
and new rules from large data sets, which ... macroeconomic and
microeconomic variables and this data is available in a variety of disparate formats.
Data mining comes in here since it helps discover information and hidden patterns
from large data...
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Managing and Mining Graph Data part 62 pdf
Ngày tải lên :
03/07/2014, 22:21
... Graph Data Mining 601
dustry has generated a wealth of protein-ligand activity data for large com-
pound libraries against many biomolecular targets. The data has been system-
atically collected and ... biomolecular target’s chemical data analy-
sis. In recent years, the trend has been to integrate chemical data with protein
and genetic data (bioinformatics data) and analyze the problem over multiple
proteins ... 327
Frequent Pattern, 29, 161, 365
Frequent Pattern Mining, 6, 29, 365
Frequent Subgraph Mining, 29, 365, 555
Frequent Subgraph Mining for Bug Localiza-
tion, 521
Frequent Subgraphs in Chemical Data, ...
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Managing and Mining Graph Data part 1 pptx
Ngày tải lên :
03/07/2014, 22:21
... 1
2. Graph Management and Mining Applications 3
3. Summary 8
References 9
2
Graph Data Management and Mining: A Survey of Algorithms and Applications
13
Charu C. Aggarwal and Haixun Wang
1. Introduction ... 27
3. Graph Mining Algorithms 29
3.1 Pattern Mining in Graphs 29
3.2 Clustering Algorithms for Graph Data 32
3.3 Classification Algorithms for Graph Data 37
3.4 The Dynamics of Time -Evolving Graphs ... AND MINING GRAPH DATA
6. Vector Space Embeddings of Graphs via Graph Matching 235
7. Conclusions 239
References 240
8
A Survey of Algorithms for Keyword Search on Graph Data
249
Haixun Wang and...
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