add_random_noise | Add random noise (normally distributed) to each intensity... |
append_original_record_idx | Append original record index (number, order) |
apply_clique_method | Apply clique method to handle dirty data such as duplicate... |
apply_pairwise_method | Apply pairwise (naive) method to handle dirty data such as... |
arrange_data_using_key | Rearrange data frame before processing MVP |
check_condition | Check condition is satisfied or not. If value difference is... |
compute_intensity_similarity | Compute pairwise similarity of two records (current and... |
construct_simulation_data | Make simulation data using various parameter |
convert_input_to_na | Convert user specified input values to NA |
extract_defect_free_table | Extract all records don't have any missing value (Defect free... |
extract_duplicate_candidate | Extract duplicate candidates related current record (using... |
find_best_similar_record | In pairwise (naive) merging, find best similar record in... |
find_non_intensity_cols | Find non-intensity columns in data frame |
inspect_conditions | Inspect current record and candidate record are satisfied... |
make_random_missing_value | Make random missing value to intensity element |
make_record_duplicated_table | To simulate real world data, make record duplicated data... |
manipulate_table_index | Before testing simulation restoration rate, we need to... |
merge_pairwise_record | Merge pairwise records (two records), manipulate... |
merge_records_of_clique | Title |
preprocess_input_data | Before applying MVP algorithm, preprocess input data such as... |
process_pairwise_merge | Pairwise merge 1 iteration and return after 1 iteration... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.