Log in
Register
Give us Feedback
InviteTag Results
Items tagged with "e-lico" (44)
Note: some items may not be visible to you, due to viewing permissions.
|
Original Uploader |
Created: 18/02/10 @ 18:59:35 | Last updated: 13/12/11 @ 15:54:09
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will remove any XML-invalid characters (these characters often appear in the output of PDF to text software) from any text supplied to the input port.
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 34 times | Downloaded: 15 times Tags (6): |
 View
 Download (v1)
|
|
Original Uploader |
Created: 18/02/10 @ 19:09:07 | Last updated: 13/12/11 @ 15:54:57
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will automate the reading of a set of text files stored in a single directory (the path to which should be supplied as a single input value). It will assume that the text files are saved using the default character encoding for the system that Taverna is running on.
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 37 times | Downloaded: 18 times Tags (6): |
View
Download (v1)
|
|
Original Uploader |
Created: 18/02/10 @ 18:39:01 | Last updated: 13/12/11 @ 15:53:46
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will remove any XML-invalid and non-ASCII characters (e.g. for sending to the ASCII-only Termine service) from any text supplied to the input port.
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 41 times | Downloaded: 16 times Tags (7): |
View
Download (v1)
|
|
Original Uploader |
Created: 19/02/10 @ 08:59:01 | Last updated: 13/12/11 @ 15:54:34
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will automate the reading of a set of PDF files stored in a single directory (the path to which should be supplied as a single input value).
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 48 times | Downloaded: 21 times Tags (6): |
View
Download (v1)
|
|
Original Uploader |
Created: 19/02/10 @ 09:07:41 | Last updated: 13/12/11 @ 15:53:29
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will extract the plain text content of PDF files supplied to the input port. You can connect the Load PDF from directory workflow to this workflows input. We recommend you send the output from this workflow to the Clean plain text workflow, because the PDF to text process can add characters into the text that are XML-invalid and therefore can not be sent to most services as plain text. Another way round this problem is to encode the text as Base64 using the handy loc...
Rating: 5.0 / 5 (1 rating) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 119 times | Downloaded: 50 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 19/02/10 @ 09:30:37 | Last updated: 13/12/11 @ 15:52:36
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will attempt to split up text into sentences, returning a list of sentences to the output port. The sentence splitting service makes use of the OpenNLP sentence detector and has been trained to work on english text. This workflow can be used to provide input to the Termine with c-value threshold workflow.
This is a workflow component, designed to be used as a nested workflow inside a larger text mining or text processing workflow.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 69 times | Downloaded: 34 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 19/02/10 @ 09:57:15 | Last updated: 13/12/11 @ 15:52:56
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow accepts a list of sentences from a single document and returns the terms found by the TerMine web service. It also allows you to set a threshold c-value score so that only terms with a user-controlled probability (of being a real term) are returned as an output.
To get sentences to supply to this workflow you can use the sentence splitting workflow. The TerMine service (used in this workflow) only accepts text in ASCII encoding, so you should also use the Clean p...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 93 times | Downloaded: 20 times Tags (7): |
View
Download (v1)
|
|
Original Uploader |
Created: 19/02/10 @ 10:52:29 | Last updated: 13/12/11 @ 15:56:08
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will give you a set of candidate terms for each PDF document in a user-specified directory. You can also specify a c-value threshold that will restrict the terms to those with higher scores.
This workflow was created using only nested workflows. These workflow components work on their own and can be linked together to form more complex workflows such as this. You can view the text mining workflow components in this pack.
If you receive errors when running this workflow t...
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 64 times | Downloaded: 31 times Tags (4): |
View
Download (v2)
|
|
Original Uploader |
Created: 22/02/10 @ 18:05:24 | Last updated: 13/12/11 @ 15:55:39
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow will give you a set of candidate terms for each text file in a user-specified directory. You can also specify a c-value threshold that will restrict the terms to those with higher scores.
This workflow was created using only nested workflows. These workflow components work on their own and can be linked together to form more complex workflows such as this. You can view the text mining workflow components in this pack.
If you receive errors when running this workflow then...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 67 times | Downloaded: 19 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 28/04/10 @ 11:00:37 | Last updated: 16/01/12 @ 14:16:23 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is an image mining process using the image mining Web service provided by NHRF within e-Lico. It first uploads a set of images found in a directory, then preprocesses the images and visualizes the result. Furthermore, references to the uploaded images are stored in the local RapidMiner repository so they can later be used for further processing without uploading images a second time.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 1 | Citations: 0 Viewed: 734 times | Downloaded: 346 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 26/01/11 @ 11:10:40 | Last updated: 11/01/12 @ 14:32:54 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow reads a GFF file of miRNA cooridinates and uses BioMart to search human ensemble genes for the gene that codes for the miRNA. The workflow returns a list of miRNAid, chromosome, start, stop, strand, entrez gene id, gene name, gene strand. Example input file here: ftp://mirbase.org/pub/mirbase/CURRENT/genomes/hsa.gff
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 27 times | Downloaded: 12 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 15/03/11 @ 15:22:49 | Last updated: 15/03/11 @ 15:28:09 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This process does a random item recommendation; for a given item ID, from the example set of items, it randomly recommends a desired number of items. The purpose of this workflow is to produce a random recommendation baseline for comparison with different recommendation solutions, on different retrieval measures.
The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of ...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 68 times | Downloaded: 21 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 15/03/11 @ 15:27:10 | Last updated: 15/03/11 @ 15:29:19 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This process executes a collaborative filtering recommender based on user to item score matrix. This recommender predicts one user’s score on some of his non scored items based on similarity with other users.
The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations and %{number_of_neighbors} defines the number of the most similar users taken into a...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 100 times | Downloaded: 50 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 15/03/11 @ 15:24:43 | Last updated: 15/03/11 @ 15:29:48 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This process is a special case of the item to item similarity matrix based recommender where the item to item similarity is calculated as cosine similarity over TF-IDF word vectors obtained from the textual analysis over all the available textual data.
The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations. The process internally uses an example set of...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 102 times | Downloaded: 39 times Tags (8): |
View
Download (v1)
|
|
Original Uploader |
Created: 15/03/11 @ 15:23:54 | Last updated: 15/03/11 @ 15:30:08 License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This process executes the recommendation based on item to item similarity matrix.
The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations. The process internally uses an item to item similarity matrix written in pairwise form (id1, id2, similarity).
The process essentially filters out appearances of the required ID in both of the columns of the pairwis...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 77 times | Downloaded: 31 times Tags (5): |
View
Download (v1)
|
|
Original Uploader |
Created: 28/04/11 @ 14:15:33 | Last updated: 13/12/11 @ 16:00:25
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
No description
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 37 times | Downloaded: 13 times Tags (6): |
View
Download (v2)
|
|
Original Uploader |
Created: 28/04/11 @ 14:12:33 | Last updated: 13/12/11 @ 16:00:52
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
No description
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 40 times | Downloaded: 11 times Tags (5): |
View
Download (v2)
|
|
Original Uploader |
Created: 04/05/11 @ 14:40:17 | Last updated: 13/12/11 @ 16:01:13
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
No description
Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 25 times | Downloaded: 14 times Tags (9): |
View
Download (v2)
|
|
Original Uploader |
Created: 06/05/11 @ 16:52:35 | Last updated: 13/12/11 @ 15:58:54
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow accepts a plain text input and provides a single text document per input containing one sentence per line. Newline characters are removed from the original input.
The OpenNLP sentence splitter is used to split the text, this is provided by University of Manchester Web Services.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 15 times | Downloaded: 10 times Tags (7): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 11:08:43
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow is used for operator testing. It joins dataset metafeatures with execution times and performanse measures of the selected recommendation operator.
In the Extract train and Extract test Execute Process operator user should open Metafeature extraction workflow.
In the Loop Operator train/test data are used to evaluate performanse of the selected operator. Result is remebered and joined with the time and metafeature informations.
This workflow can be used both for Item Recommend...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 3 times | Downloaded: 0 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 11:00:27 | Last updated: 30/01/12 @ 13:11:27
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a metafeature extraction workflow used in Experimentation workflow for recommender extension operators.
This workflow extracts metadata from the train/test datasets (user/item counts, rating count, sparsity etc).
This workflow is called from the operator testing workflow using Execute Process operator.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 16:51:32 | Last updated: 29/01/12 @ 16:54:22
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 1 time | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 16:47:38
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a data iteration workflow used to iterate throug query update sets.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 10:54:05
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a dataset iteration workflow. It is a part of Experimentation workflow for recommender extension.
Loop FIles operator iterates through datasets from a specified directory using read aml operator. Only datasets specified with a proper regular expression are considered.
Train and test data filenames must correspond e.g (train1.aml, test1.aml).
In each iteration Loop Files calles specified operator testing workflow with Execute subprocess operator.
Informations about training and t...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 3 times | Downloaded: 5 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 16:45:55
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow measures performance of three models.
Model learned on train data and upgraded using online model updates.
Model learned on train data + all query update sets.
Model learned on train data only.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 16:41:36 | Last updated: 30/01/12 @ 13:15:44
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow trains and saves a model for a selected item recommendation operator.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 16:38:56
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a main online update experimentation workflow.
It consists of three Execute Process operators.
First operator executes model training workflow.
Second operator executes online updates workflow for multiple query update sets.
The last operator executes performance testing and comparison workflow.
Final performance results are saved in an Excel file.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 22:04:45
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a data iteration workflow used to iterate throug query update sets.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 2 times | Downloaded: 0 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 22:02:06 | Last updated: 30/01/12 @ 13:01:22
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 21:58:28
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This is a main online update experimentation workflow. It consists of three Execute Process operators. First operator executes model training workflow. Second operator executes online updates workflow for multiple query update sets. The last operator executes performance testing and comparison workflow. Final performance results are saved in an Excel file.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (3): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 21:57:38 | Last updated: 30/01/12 @ 13:01:53
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow measures performance of three models. Model learned on train data and upgraded using online model updates. Model learned on train data + all query update sets. Model learned on train data only.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 1 time | Downloaded: 0 times Tags (4): |
View
Download (v1)
|
|
Original Uploader |
Created: 29/01/12 @ 21:56:33 | Last updated: 30/01/12 @ 13:03:04
Credits:
License: Creative Commons Attribution-No Derivative Works 3.0 Unported License
This workflow trains and saves model for a selected rating prediction operator.
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 0 times | Downloaded: 0 times Tags (4): |
View
Download (v1)
|
|
Creator: |
Created: 19/02/10 @ 10:12:33 | Last updated: 13/12/11 @ 16:03:17
This pack contains workflows we have created to support core text mining tasks.
We currently provide workflows to do these tasks
Loading documents (text or PDF)
PDF to text conversion
Sentence splitting
Text cleaning (ASCII or XML-valid)
Term recognition (using NaCTeM service TerMine)
7 items in this pack Comments: 0 | Viewed: 224 times | Downloaded: 69 times Tags: |
View
Download
|
|
Creator: |
Created: 15/03/11 @ 15:33:48 | Last updated: 28/01/12 @ 19:39:06
This pack contains recommender system workflows created for the purpose of e-LICO project.
6 items in this pack Comments: 0 | Viewed: 68 times | Downloaded: 23 times Tags: |
View
Download
|
|
Creator: |
Created: 06/06/11 @ 10:17:52 | Last updated: 13/12/11 @ 16:02:04
This pack contains videos the show how to use various parts of the RapidMiner plugin for Taverna.
The videos demonstrate how to build a Taverna workflow which collects a GEO dataset, uploads it to RapidAnalytics, trains a classifier on one half of the data and tests it on the other half. This classification process can be used to gauge how well mutant and control assays agree across experimental repeats.
5 items in this pack Comments: 0 | Viewed: 25 times | Downloaded: 13 times Tags: |
View
Download
|
|
Creator: |
Created: 07/04/11 @ 14:59:37 | Last updated: 28/01/12 @ 19:37:47
No description
6 items in this pack Comments: 0 | Viewed: 140 times | Downloaded: 33 times Tags: |
View
Download
|
|
Creator: |
Created: 29/01/12 @ 16:29:09 | Last updated: 29/01/12 @ 22:06:46
This is a pack containing experimentation workflows and datasets for item recommendation and rating prediction online update testing.
12 items in this pack Comments: 0 | Viewed: 1 time | Downloaded: 0 times Tags: |
View
Download
|
|
Creator: |
Created: 28/01/12 @ 21:54:16 | Last updated: 31/01/12 @ 16:01:43
This is a recommender extension experimentation pack
6 items in this pack Comments: 0 | Viewed: 4 times | Downloaded: 0 times Tags: |
View
Download
|
|
Uploader: |
Created: 26/11/11 @ 20:07:02 | Last updated: 26/11/11 @ 20:07:04
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
A test file for Collaborative filtering recommender
File type: Excel workbook Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 8 times | Downloaded: 4 times Tags: |
View
Download
|
|
Uploader: |
Created: 29/01/12 @ 17:05:46 | Last updated: 29/01/12 @ 17:07:49
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This is a file containing query sets for online updates of rating prediction operators.
File type: application/x-zip-compressed Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 1 time | Downloaded: 0 times Tags: |
View
Download
|
|
Uploader: |
Created: 29/01/12 @ 17:02:50 | Last updated: 30/01/12 @ 13:20:16
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This is a file containing query datasets for online updates of item recommendation operators.
File type: application/x-zip-compressed Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 1 time | Downloaded: 0 times Tags: |
View
Download
|
|
Uploader: |
Created: 29/01/12 @ 11:59:49 | Last updated: 29/01/12 @ 17:28:20
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This is a help file in how to use experimentation workflows with a recommendation operators.
File type: application/publicationlist Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 0 times | Downloaded: 0 times Tags: |
View
Download
|
|
Uploader: |
Created: 29/01/12 @ 11:53:41 | Last updated: 30/01/12 @ 13:19:23
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
This is a train/test set example used in experimentation.
Data in this set consists of three columns, one column for user identification, one for item identification, and one for rating. Every dataset is accompanied with the appropriate aml file.
This dataset can be used for rating prediction and item recommendation operator testing. Item recommendation operators will ignore the rating column.
File type: application/x-zip-compressed Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 3 times | Downloaded: 0 times Tags: |
View
Download
|
Copyright © 2007 - 2011 The University of Manchester and University of Southampton
