06588092.rar - Common method in image enhancement that’s often
use is histogram equalization, due to this method is simple and has
low computation load. In this research, we use Contrast Limited
Adaptive Histogram Equalization (CLAHE) to enhance the color
retinal image. To reduce this noise effect in color retinal image due
to the acquisition process, we need to enhance this image. Color
retinal image has unique characteristic than other image, that is, this
image has important in green (G) channel. Image enhancement has
important contribution in ophthalmology. ,2016-06-13 15:45:26,下载3次
06497930.rar - In remote sensing applications, image acquired from
space borne satellites are of diverse spatial, spectral and temporal
resolutions. Several situations in image interpretation require
high spatial information and high spectral information in a single
image. But the existing sensors do not have the ability to provide
such information either by design or because of observational
constraints. Thus the complementary information different
sensors are integrated using the technique called image fusion to
get a resultant fused image which is more informative than any of
the given input images. ,2016-06-13 15:42:50,下载5次
5.rar - Association rule mining can be used to discover interesting
rules large s easily for better decision making in most
real world applications except the financial market. This is because
the investors are interested in high profit and low risk trading results
more than in those of high confidence and high support. Based on a
working model of profit mining, we propose an effective algorithm for
investors to find trading rules that include information on profit, risk,
and win rate. This mining approach works well not only in the stock
market, but also in the futures and other markets. ,2015-01-12 11:38:07,下载1次
4.rar - With the explosive growth of information sources
available on the WW, it has become an important tool for
users in order to find, extract, filter and uate the desired
information and resources. The main purpose of this paper is
to study the customer s behavior using the Web mining
techniques and its application in e-commerce to mine customer
behavior. The concept of Web mining describing the process of
Web data mining in detail: source data collection, data pre
processing, pattern discovery, pattern analysis and cluster
analysis. With the advanced information technologies, server
are now able to collect and store mountains of data, describing
their numerous contributions and different customer profiles,
which they seek to derive information about their
customer s requirements.,2015-01-12 11:36:56,下载1次
3.rar - Mining sequential pattern is one of the
common data mining task for many real-life
applications.Previous existing algorithm such as
CAMLS(Constraint-based Apriori Algorithm for
Mining Long Sequences) mines the complete set of
frequent sequences(Long) satisfying a min-sup
threshold in a sequence.However,mining long
sequences will generate an explosive number of
frequent sequences, which is prohibitively costly in
both run time and space storage.In this paper, we
propose to improve CAMLS algorithm to produce
only for closed sequences.Instead of mining full set of
sequences,we plan to mine only short(closed)
sequences.i.e.,those containing,no super sequences
with same support.Ou,2015-01-12 11:35:34,下载2次
2.rar - In order to do process mining better in the Business
Intelligence environment, the proper process mining model and
the right uation method to assess the mining results become
the key issues. This paper is based on both theoretical and
technological achievements in process mining area, putting
forward a process mining model under event log mode, providing
the analysis process of selecting uation indicators by AHP,
and gives out a set of formulas for assessing process instance
combined with the vector model. For illustration, a case recorded
by an insurance company handling claims lodged over the phone
is utilized to show the feasibility of the given model and the
formulas in solving assessment problems.,2015-01-12 11:34:13,下载1次
1.rar - Web mining techniques are used to analyze the web
information resources. Web content mining and structure mining
methods are used to analyze the web page contents. The user
access information is maintained under the web logs. The usage
mining technique is used to analyze the web logs. The web logs
are maintained under the web server environment. User access
patterns are extracted the web logs. The web content
management and link connectivity are improved using the access
patterns. The association rule mining techniques are used to
extract item set relationships. Item set frequencies are used in the
rule mining process. Page weights are used to denote the
importance of the web pages. The weighted rule mining
techniques are used to fetch the frequently accessed web pages
with its weight values,2015-01-12 10:42:25,下载2次