| 000 | 00894nam a2200193 4500 | ||
|---|---|---|---|
| 999 |
_c37621 _d37621 |
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| 040 | _cRiphah International University | ||
| 082 |
_a004 _bZAB |
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| 100 | _aZaib Un Nisa (S18A14G05014) | ||
| 245 | _aAn efficient support filtering techniques for association rule to reduce visual clutter for parsets | ||
| 260 |
_aFaisalabad _b(unpublished) _c2020 |
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| 300 |
_axiii, 59 p. _b: ill. _c; 30 cm. |
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| 500 | _aA thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science to the Faculty of Computing. | ||
| 500 | _aThesis supervisor: Dr. M Sheraz Arshad Malik | ||
| 500 | _aIncludes bibliographical references and appendix. | ||
| 502 | _aThesis (M.Phil.)--Riphah International University, 2020 | ||
| 546 | _aEnglish | ||
| 650 |
_aComputer sciences _aVisualization techniques _vAlgorithms _vRegression analysis _vMushroom _vFC |
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| 942 | _cTH | ||