| 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... |
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