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    100 convert csv to arff r jobs found, pricing in USD

    ...learning for malware detection project to classify a program is malicious or non- malicious: I need someone to analyse malware and clean dataset: - And label them +1 for malicious and -1 for non malicious - extract and select important features (I need at least 8 distinct features) - Finally put it in a file .arff to analyse it with Weka - Generate a

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    Hi There this small project is about Machine Learning. I would give you an Arff file and you have to train the data. Here correctly classified instances and Roc curve Area percentage is very [login to view URL] bid if you are sure that you can do it.

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    I need input a arff file with desbalanced classes and get a output arff with balanced classes.

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    ...there I would give you an arff FIle and a trained Weka model,,,what you have to do is to use weka API ..i would prived you the jar file for that.... you have to load the arff and weka file in java..the data is so build that there are two classes -1 and 1 and 579 people....the programm should produce result if the person has to be placed in class 1 or

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    Hi there I would give you an arff FIle and a trained Weka model,,,what you have to do is to use weka API ..i would prived you the jar file for that.... you have to load the arff and weka file in java and then save it ...is should be able to reproduce the results. this link would help you understaniding it. [login to view URL]

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    ... I would give you an arff file model which you have to train using SMO (SVN) in Weka. SVN would give the best results in this case thats why you have not to try any other Algorithmus, this makes your work a lot [login to view URL] you have to do is to only open arff file in weka ..create train and test sets 80 and 20 percents.....go to classify ...

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    ... I would give you an arff file model which you have to train using SMO (SVN) in Weka. SVN would give the best results in this case thats why you have not to try any other Algorithmus, this makes your work a lot [login to view URL] you have to do is to only open arff file in weka ..create train and test sets 80 and 20 percents.....go to classify ...

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    ...is the phenotype training [login to view URL] is an Arff File. Based on this dataset you have to train the data (you can use Weka API or Weka Programm) and validate models which are capable to predict on unseen data the phenotype outcome. You can use Support vector machine or any machine lerning process that you know to do it. This is typically referred as a binary

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    ...system for converting *xls files into *arff . I need a small update, to add an option. Somebody who has experience in PHP, Symfony, cocur library for reading and writing *arff files and phpspreadsheet library for *xls documents is required. More details in private. P.S. Please see the attachements. We need to convert the "full_data" sheet from the *...

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    We have...very simple system for converting *xls files into *arff . I need a small update, to add an option. Somebody who has experience in PHP, Symfony, cocur library for reading and writing *arff files and phpspreadsheet library for *xls documents is required. More details in private. P.S. We need to convert the "full_data" sheet from the *xls file

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    ...very simple system for converting *xls files into *arff . I need a small update, to add an option. Somebody who has experience in PHP, Symfony, cocur library for reading and writing *arff files and phpspreadsheet library for *xls documents is required. More details in private. P.S. We need to convert the "full_data" sheet from the *xls file (see th...

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    We have already a very simple system for converting *xls files into *arff . I need a small update, to add an option. Somebody who has experience in PHP, Symfony, cocur library for reading and writing *arff files and phpspreadsheet library for *xls documents is required. More details in private.

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    ...and convert it to *arff. Step1: I need to choose which attibutes I want to convert to arff (I don't need for example all 99 attributes, I want to select only 10, 12, 30 attributes which will be converted to *arff and then used in Weka). (The attributes are in the 3rd row in the Excel file.) Step2: Then from ...

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    i want to make a program to compare two datasets (arff file), the first one is the original file and the second one is modified file to get the instance that removed in the second file and save it in another file. also i have existing program with limitation and i want to edit.

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    I have a csv and a txt file want to convert them to ARFF weka file

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    I have a .arff files ....Need to implement K- nearest neighbor classifier on it and calculate accuracy. to be completed in a week.

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    Need few advices for text classification with Weka. Experts with experiences only! Don't waste my time. Arff files are already prepared. I'm searching for best possible classification result of my multiple class data. Details via PM.

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    A dataset in .ARFF format has been provided for you on Studynet. Analyse this dataset using the WEKA toolkit and tools introduced within this module. Produce a report explaining which tools you used and why, what results you obtained, and what this tells you about the data. Marks will be awarded for: variety of tools used, quality of analysis, and interpretation

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    I am looking for somebody with a strong background in machine learning to assist us in our project. We have built a small simulation program that generates us .arff files that should be used for predictive analytics. Your task would be to: 1. define criteria by which to evaluate different machine learning algorithms. this is dependent upon the context

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    ...i'm actually getting a new society named ARFF Production. I'm looking for a Logo. A modern logo that would represent our work, mostly based on international cultural film documentaries. We do work a lot with asia and europe, we are young and we want the logo to appear on our videos and website so it has to be really esthetic and powerfull ! We

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    Featured Urgent Guaranteed Sealed Top Contest
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    ...want to load a lot of data, maybe 3 gb into weka. There are about 1000 fields. I am having trouble getting various types of errors. You must have experience with working with Japanese and Chinese data. The data includes characters from two byte languages like Chinese, Japanese, and Thai. This is short project. I have csv files and have used R to write

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    I want to load a lot of data, maybe 3 gb into weka. There are about 1000 fields. I am having trouble getting various types of errors and would like to find a Weka expert to assist in this. The data includes characters from two byte languages like Chinese, Japanese, and Thai. This is short project. I have csv files and have used R to write them as .arff

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    I want to load a lot of data, maybe 3 gb into weka. There are about 1000 fields. I am having trouble getting various types of errors and would like to find a Weka expert to assist in this. The data includes characters from two byte languages like Chinese, Japanese, and Thai. This is short project. I have csv files and have used R to write them as .arff

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    The banks are having a bit of trouble with debt at the moment. They have lent lots of money to people who promised to pay it back, and then didn’t. In the future, they would like to avoid lending to the kind of person who won’t pay back the loan, and that is where you come in. We have got some data from a bank describing 1000 of its loan customers.

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    ...similar type to featured articles. The second set becomes class Non-Featured. We are dealing with a binary classification problem. To create attributes, extract all possible tokens from the entire dataset after stemming and stop-word removal. Create 1-gram, 2-gram and 3-grams from these tokens. Use these n-grams as the attributes for ARFF files. Perform

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    creating datasets,stemming and stop word removal Tokenize the data after removing stop-words a...data set ( not each file) count the number of time a token appears. Do not count all tokens. Create an arff (WEKA format) file for each Data set. The attribute will be token and the value will be count. Keep the class information for the data in arff file

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    ...type to featured articles. The second set becomes class Non-Featured. We are dealing with a binary classification problem.  To create attributes, extract all possible tokens from the entire dataset after stemming and stop- word removal. Create 1-gram, 2-gram and 3-grams from these tokens. Use these n-grams as the attributes for ARFF files

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    ...type to featured articles. The second set becomes class Non-Featured. We are dealing with a binary classification problem.  To create attributes, extract all possible tokens from the entire dataset after stemming and stop- word removal. Create 1-gram, 2-gram and 3-grams from these tokens. Use these n-grams as the attributes for ARFF files

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    ...without any error: e.g. >javac [login to view URL]  Your program should accept ARFF (Attribute-Relation File Format) data file format as input and it should generate ARFF files for output. You can ignore the comments in the file. Please do not use any library to read .arff files such as matlab, weka, etc. Your program should use only standard libraries

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    I have time series data that I want to use to predict future values. I can provide the data in any format like csv, csr, arff or any format. I have a limited ML experience working with Microsoft ML, Weka & XGBoost but I need an expert to be to achieve better than I managed to achieve with my limited time and expertise. Accuracy higher than 70% ...

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    ...not each file) count the number of time a token appears. Do not count all tokens. Create an arff (WEKA format) file for each Data set. The attribute will be token and the value will be count. Keep the class information for the data Submission Details: arff Name the file: For first dataset: [login to view URL] For second dataset: A1D2_yourLastName

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    I have time series data that I want to use to predict future values. I can provide the data in any format like csv, csr, arff or any format. I have a limited ML experience working with Microsoft ML, Weka & XGBoost but I need an expert to be to achieve better than I managed to achieve with my limited time and expertise. Accuracy higher than 70% ...

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    creating datasets,stemming and stop word removal Tokenize the data af...removal Tokenize the data after removing stop-words and stemming. For each data set ( not each file) count the number of time a token appears. Do not count all tokens. Create an arff (WEKA format) file for each Data set. The attribute will be token and the value will be count.

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    I have time series data that I want to use to predict future values. I can provide the data in any format like csv, csr, arff or any format. I have a limited ML experience working with Microsoft ML, Weka & XGBoost but I need an expert to be to achieve better than I managed to achieve with my limited time and expertise. Accuracy higher than 70% ...

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    Statisticsofadataset In Weka, a dataset is recorded in the format called ARFF. The following is an example of a dataset ([login to view URL] in the data sub-directory of weka software): @relation weather @attribute outlook {sunny, overcast, rainy} @attribute temperature numeric @attribute humidity numeric @attribute windy {TRUE, FALSE} @attribute

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    1. Use two of the following three datasets to perform data mining techniques to discover useful patterns. : a. Breast Cancer Wisconsin Dataset1 ( attached). b. WARRANTY Dataset2 c. Weka Supermarket Dataset3,4 (in ARFF format: [login to view URL] ) 2. Write your report in the following format: 1.1. Background 1.2. Statement of the problem

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    we want system similar like Weka. in which system provides Discritize as a pre-processing on .arff file->then feature selection techniques( CFS and GS)->then classifiers J48 and Navie Bayes->comparism of results in graphical format. we want efficient and more user friendly GUI.

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    I need Dataset that classified network traffic using SVM in Weka, I need a help in finding and running a data set that ...network traffic using SVM in Weka, I need a help in finding and running a data set that classify network traffic (e.g FTP, Email, games, http and so on) by using SVM in Weka (arff). I need the data set that has a published paper.

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    ...have to do data mining in Nalimov table bases (3-5 men) with WEKA. I need to export the data in the Nalimov table base files in a readable form in order to build the .arff files for WEKA. I'm searching to hire someone who could provide me a program which will do the above, or the procedure how to do the above, or provide me table bases in .arf...

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    Deadline is 15.02.2016 24:00 Project goal is to create python script which will generate xes files based on json configuration file. The script should work similar to one i atached which is generating arff files. So script which will parse json is ready. We have to create one to generate xes files and also group them by timestamps and activities(example

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    I ...problems and fields. The datasets should be research datasets with clear descriptive information. Besides, I need the datasets in ARFF format. The datasets from original research is welcome. The formatting existing corpuses as ARFF dataset is also okay. I'm waiting your proposals. Each dataset provided will be given an additional payment.

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    • A dataset in .ARFF format has been provided for you Analyse this dataset using the WEKA toolkit • Produce a report to recognise the pattern of the data. In your answer, you should explain which algorithms you used and why, what results you obtained, and what this tells you about the data. • Marks will be awarded for: variety of algorithms used

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    Part I. Construct training data files (ARFF files) using the training image data for three different bin numbers (i.e., number_of_bins = 8, 64 and 512). The number of training data files should be three. Part II. Construct the five different classifier models using each training data file. The five classification methods are as follows: 1) Naïve

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    Need to convert input from Excel file in to ARFF to be able to feed into WEKA

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    creating an .arff file using weka explorer.

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    A simple project which deals with building test and training data sets (arff) on the images.

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    Create an arff file with 50 batting and bowling cricket players and create three clusters using k means algorithm in weka

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    I have a data analysis task. [login to view URL] an arff file with 50 batting and bowling cricket players 2. Create three clusters using k means algorithm in weka

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    ...Ability to work with multiple data formats including ARFF, XML, CSV etc. Creation of databases for automatic download and data augmentation into MySQL, data preprocessing, visualization in D3, predictive analytics, statistical modeling, evaluation and deployment. Will require creation of learning schemes, models and algorithms from WEKA and R Scripts

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    ...using WEKA software. i will attach a [login to view URL] file Its a survey about hospitality you need to do the following parts 1 - convert data set to ARFF format 2 - perform preprocessing 3 - Apply three association rule mining techniques to identify patterns in the data set for different groups of visitors 4 - Evaluate and compare techniques

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